Add DOI-based download script for non-arXiv papers - ai-research-survey - Systematic scan of agentic development research. What's signal, what's noise.

commit 08f6c3db4222ef96a668db4bf3fd6b61e3326b67
parent 1021d39ac6f95f5694904bc4c19a3953006c570d
Author: Brian Graham <brian@buildingbetterteams.de>
Date:   Fri, 27 Feb 2026 21:55:00 +0100

Add DOI-based download script for non-arXiv papers

scripts/download-doi.py tries three strategies for 749 papers without
arxiv_id: (1) Semantic Scholar open access PDF lookup, (2) Unpaywall
API, (3) arXiv fallback if S2 finds a previously unknown arxiv_id.
Updates manual-download-needed.txt with whatever remains.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Diffstat:
A manual-download-needed.txt  | 3753 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
A scripts/download-doi.py  | 250 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

2 files changed, 4003 insertions(+), 0 deletions(-)
diff --git a/manual-download-needed.txt b/manual-download-needed.txt
@@ -0,0 +1,3753 @@
+# Papers requiring manual download (749 total)
+# These have no arxiv_id so the download script cannot fetch them.
+# Download the PDF manually and place it in papers/<slug>/paper.pdf
+# then update the registry status to "downloaded".
+
+artificial-intelligence-assistance-2026
+  Artificial intelligence assistance in foresight research: Enhancing technology assessment through data-driven methods
+  2026 | Unknown
+  https://doi.org/10.12913/22998624/211285
+
+vibe-coding-future-2026
+  Is Vibe Coding the Future of Software?
+  2026 | Unknown
+  https://doi.org/10.1109/mc.2025.3634712
+
+hogyan-igazodjunk-el-2026
+  Hogyan igazodjunk el a mesterséges intelligencia munkaerőpiaci hatásait övező zajban?
+  2026 | Unknown
+  https://doi.org/10.18414/ksz.2026.1.72
+
+promises-perils-llm-2026
+  Promises and Perils of LLM- and Agent-Generated Code
+  2026 | Unknown
+  https://doi.org/10.1109/MC.2025.3627694
+
+outofcontext-outofscope-manipulating-2026
+  Out-of-context and out-of-scope: Manipulating large language models through minimal instruction set modifications
+  2026 | Unknown
+  https://doi.org/10.1371/journal.pone.0341558
+
+scientific-foundation-models-2026
+  On scientific foundation models: Rigorous definitions, key applications, and a comprehensive survey.
+  2026 | Unknown
+  https://doi.org/10.1016/j.neunet.2026.108567
+
+artificial-brain-neuroscience-2026
+  The Artificial Brain: A Neuroscience Inspired Architecture for Multimodal AI Systems
+  2026 | Unknown
+  https://doi.org/10.65138/ijtrp.2026.v2i2.13
+
+programmed-please-moral-2026
+  Programmed to please: the moral and epistemic harms of AI sycophancy
+  2026 | Unknown
+  https://doi.org/10.1007/s43681-026-01007-4
+
+values-science-ai-2026
+  Values in science and AI alignment research
+  2026 | Unknown
+  https://doi.org/10.1080/0020174x.2026.2615773
+
+interactioncentric-cybersecurity-risks-2026
+  Interaction-Centric Cybersecurity Risks in LLM-Powered Dialogue Systems
+  2026 | Unknown
+  https://doi.org/10.1109/CCWC67433.2026.11393850
+
+efficient-strategy-finetuning-2026
+  An efficient strategy for fine-tuning large language models
+  2026 | Unknown
+  https://doi.org/10.3389/frai.2026.1665992
+
+assessing-data-extraction-2026
+  Assessing data extraction in randomized clinical trials with large language models
+  2026 | Unknown
+  https://doi.org/10.1186/s12874-025-02729-5
+
+synthetic-intuition-system1system2-2026
+  Synthetic Intuition: A System-1/System-2 Architecture for Fast and Slow Thinking in Large Language Models
+  2026 | Unknown
+  https://doi.org/10.1109/CCWC67433.2026.11393760
+
+selective-ragenhanced-hybrid-2026
+  A Selective RAG-Enhanced Hybrid ML-LLM Framework for Efficient and Explainable Fatigue Prediction Using Wearable Sensor Data
+  2026 | Unknown
+  https://doi.org/10.3390/bioengineering13010058
+
+agentic-ai-modernization-2026
+  Agentic AI Modernization: Transforming Institutional Infrastructure Through Orchestrated Multi-Agent LLM Framework
+  2026 | Unknown
+  https://doi.org/10.32996/jcsts.2026.8.4.1
+
+prompt-injection-attacks-2026-2
+  Prompt Injection Attacks in Large Language Models and AI Agent Systems: A Comprehensive Review of Vulnerabilities, Attack Vectors, and Defense Mechanisms
+  2026 | Unknown
+  https://doi.org/10.3390/info17010054
+
+prompt-injection-attacks-2026-2-2
+  PROMPT INJECTION ATTACKS IN LARGE LANGUAGE MODELS VIA A COMPREHENSIVE ANALYSIS OF ATTACK VECTORS, DEFENSE MECHANISMS, AND FUTURE DIRECTIONS
+  2026 | Unknown
+  https://doi.org/10.30546/2225-0530.14.2.2025.2013
+
+embedguard-crosslayer-detection-2026
+  EmbedGuard: Cross-Layer Detection and Provenance Attestation for Adversarial Embedding Attacks in RAG Systems
+  2026 | Unknown
+  https://doi.org/10.22399/ijcesen.4869
+
+ocrmediated-modality-dominance-2026
+  OCR-Mediated Modality Dominance in Vision-Language Models: Implications for Radiology AI Trustworthiness
+  2026 | Unknown
+  https://doi.org/10.64898/2026.02.22.26346828
+
+whitebox-prompt-injection-2026
+  A White-Box Prompt Injection Attack on Embodied AI Agents Driven by Large Language Models
+  2026 | Unknown
+  https://doi.org/10.1016/j.jss.2026.112782
+
+node-injectionbased-adversarial-2026
+  Node Injection-Based Adversarial Attack and Defense on Social Bot Detection
+  2026 | Unknown
+  https://doi.org/10.1109/TCSS.2025.3599730
+
+can-test-cases-2026
+  Can test cases generated by large language models facilitate automated program repair?
+  2026 | Unknown
+  https://doi.org/10.1007/s10664-026-10802-w
+
+artificial-intelligence-infrastructureascodea-2026
+  Artificial Intelligence for Infrastructure-as-Code—A Systematic Literature Review
+  2026 | Unknown
+  https://doi.org/10.3390/electronics15040755
+
+applications-attitudes-ethical-2026
+  Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review
+  2026 | Unknown
+  https://doi.org/10.1186/s12912-025-04253-9
+
+semantic-compression-memory-2026
+  Semantic Compression for Memory Retention in LLM Test Generation
+  2026 | Unknown
+  https://doi.org/10.1587/transinf.2025kbl0001
+
+mitigating-prompt-dependency-2026
+  Mitigating Prompt Dependency in Large Language Models: A Retrieval-Augmented Framework for Intelligent Code Assistance
+  2026 | Unknown
+  https://doi.org/10.3390/software5010004
+
+observability-largescale-multiagent-2026
+  Observability in Large-Scale Multi-Agent Ecosystems: Coordination, Emergence, and Failure Modes
+  2026 | Unknown
+  https://doi.org/10.1109/ICAIC67076.2026.11395863
+
+multiagent-symbiotic-evolution-2026
+  A Multi-Agent Symbiotic Evolution Model and Simulation Research of the Entrepreneurial Ecosystem
+  2026 | Unknown
+  https://doi.org/10.3390/systems14010080
+
+biotrouble-multiagent-workflow-2026
+  BioTrouble: A Multi-Agent Workflow for Troubleshooting Molecular Biology Techniques
+  2026 | Unknown
+  https://doi.org/10.64898/2025.12.30.697016
+
+topology-matters-evaluating-2026
+  Topology Matters: Evaluating Multi-Agent Organizations for Resilient Flood Detection
+  2026 | Unknown
+  https://doi.org/10.1109/CCNC65079.2026.11366503
+
+advancing-llmgenerated-code-2026
+  Advancing LLM-Generated Code Reliability: A Hybrid Approach for Hallucination Detection
+  2026 | Unknown
+  https://doi.org/10.1109/TSE.2025.3640641
+
+understanding-llm-responses-2026
+  Understanding LLM Responses in Programming Tasks: A Study on Prompt Quality, Personalization, and RAG Limitation
+  2026 | Unknown
+  https://doi.org/10.32664/icobits.v1.107
+
+llmassisted-codebook-development-2026
+  LLM-Assisted Codebook Development for Cybersecurity Interviews with Enhanced Accuracy and Reduced Hallucination
+  2026 | Unknown
+  https://doi.org/10.1109/ICAIC67076.2026.11395872
+
+stanford-developer-productivity-2025
+  The Effects of Generative AI on Software Developer Productivity
+  2025 | Stanford/Industry Report
+  https://softwareengineeringproductivity.stanford.edu/
+
+multi-turn-jailbreak-2025
+  Multi-Turn Jailbreak Attacks on LLM Agents
+  2025 | ACL 2025 (REALM Workshop)
+  https://aclanthology.org/2025.realm-1.13/
+
+prompts-first-precision-2025
+  Prompts First, Precision Later: Reviving the Vision of Natural Language Programming for Computing Education
+  2025 | Unknown
+  https://doi.org/10.1145/3769994.3770039
+
+lumen-developer-agency-2025
+  Lumen: Developer Agency Through Transparent Context Control in AI-Assisted Programming
+  2025 | Unknown
+  https://doi.org/10.1109/CASCON66301.2025.00024
+
+cognitive-risks-ai-2025
+  Cognitive Risks of AI: Literacy, Trust, and Critical Thinking
+  2025 | Unknown
+  https://doi.org/10.1080/08874417.2025.2582050
+
+role-artificial-intelligence-2025
+  The Role of Artificial Intelligence in Enhancing Operational Efficiency and Cost Optimization in Engineering-Driven Enterprises
+  2025 | Unknown
+  https://doi.org/10.63503/j.ijaimd.2025.169
+
+us-betting-economy-2025
+  The U.S. Is Betting the Economy on ‘Scaling’ AI: Where Is the Intelligence When One Needs It?
+  2025 | Unknown
+  https://doi.org/10.1080/08911916.2026.2616133
+
+reshaping-higher-education-2025
+  Reshaping higher education in the unavoidable era of AI
+  2025 | Unknown
+  https://doi.org/10.31039/plic.2025.14.338
+
+advancing-nursing-regulation-2025
+  Advancing Nursing Regulation in the Digital Era: Harnessing AI to Bridge Workforce Gaps and Strengthen Practice Competency and Safety
+  2025 | Unknown
+  https://doi.org/10.1016/j.jnr.2025.08.015
+
+speed-at-cost-2025
+  Speed at the Cost of Quality? The Impact of LLM Agent Assistance on Software Development
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2511.04427
+
+not-everyone-wins-2025-2
+  Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications in AI-assisted Data Analysis
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2509.21890
+
+natural-born-intelligence-2025
+  Natural born intelligence manifesto: Illustrating the dynamic perspective for consciousness
+  2025 | Unknown
+  https://doi.org/10.1016/j.biosystems.2025.105677
+
+when-observer-becomes-2025
+  When the observer becomes the observed: A critical alternative to environment sensing through embodied engagement with a generative system
+  2025 | Unknown
+  https://doi.org/10.1145/3757369.3767610
+
+ais-environmental-cost-2025
+  AI’s Environmental Cost: Comparing Resource Consumption Between SLMs and LLMs Across Queries
+  2025 | Unknown
+  https://doi.org/10.34190/icair.5.1.4345
+
+claude-does-permanent-2025
+  Claude Does Permanent Scatterer Interferometric Synthetic Aperture Radar: A tutorial for the use of large language models in replication studies
+  2025 | Unknown
+  https://doi.org/10.1109/MGRS.2025.3574703
+
+adaptive-twolayer-inspection-2025
+  Adaptive Two-Layer Inspection Framework for Mitigating Security Risks in Large-Scale Vertical Domain Language Models
+  2025 | Unknown
+  https://doi.org/10.1109/ISPCE-ASIA69076.2025.11312923
+
+detection-llm-deceptive-2025
+  Detection of LLM Deceptive Behaviour Triggered by the Poisonous Context Injection: The Problem Demonstration
+  2025 | Unknown
+  https://doi.org/10.1109/FLLM67465.2025.11391110
+
+pedagogicallydriven-prompt-engineering-2025
+  Pedagogically-Driven Prompt Engineering Towards Developing Mathematical Literacy of Russian Students
+  2025 | Unknown
+  https://doi.org/10.1109/DeSE68208.2025.11367925
+
+improved-autoregressive-evaluation-2025
+  An Improved Autoregressive Evaluation Paradigm for Large Language Models
+  2025 | Unknown
+  https://doi.org/10.1145/3763000
+
+generative-ai-computational-2025
+  Generative AI for computational chemistry: A roadmap to predicting emergent phenomena
+  2025 | Unknown
+  https://doi.org/10.1073/pnas.2415655121
+
+how-get-enriched-2025
+  How to Get Enriched Metadata? A Multi‐modal Model Fusion Strategy for Automatic Metadata Enhancement in GLAM Art Collections
+  2025 | Unknown
+  https://doi.org/10.1002/pra2.1345
+
+advancing-largemolecule-discovery-2025
+  Advancing large-molecule discovery with a unified digital platform for data analysis and workflow management
+  2025 | Unknown
+  https://doi.org/10.1080/19420862.2025.2555346
+
+llmled-visionspectral-fusion-2025
+  LLM-led vision-spectral fusion: A zero-shot approach to temporal fruit image classification
+  2025 | Unknown
+  https://doi.org/10.1016/j.neunet.2025.108155
+
+responsible-artificial-intelligence-2025
+  Responsible Artificial Intelligence for Earth Observation: Achievable and realistic paths to serve the collective good
+  2025 | Unknown
+  https://doi.org/10.1109/MGRS.2025.3529726
+
+evaluating-embeddable-language-2025
+  Evaluating Embeddable Language Models in Verbalizing Rule-based Inferences through Justifications
+  2025 | Unknown
+  https://doi.org/10.1109/RO-MAN63969.2025.11217601
+
+survivehr-competing-risks-2025
+  SurvivEHR: a competing risks, time-to-event foundation model for multiple long-term conditions from primary care electronic health records
+  2025 | Unknown
+  https://doi.org/10.1101/2025.08.04.25332916
+
+advancing-methodological-development-2025
+  Advancing methodological development of artificial intelligence in patient-centered comparative clinical effectiveness research: Patient-Centered Outcomes Research Institute’s unique contribution to research done differently
+  2025 | Unknown
+  https://doi.org/10.1093/jamiaopen/ooaf081
+
+aiaided-tooling-domestic-2025
+  AI-Aided Tooling for Domestic Robots
+  2025 | Unknown
+  https://doi.org/10.1109/AIM64088.2025.11175869
+
+peeping-at-creaitivity-2025
+  Peeping at creAItivity through a keyhole: creative self-perceptions, potential, and enhancement of GenAI chatbots
+  2025 | Unknown
+  https://doi.org/10.1007/s10462-025-11288-6
+
+navigating-representation-utilizing-2025
+  Navigating representation: utilizing prompt engineering to minimize representational harms in journalist’s image captions
+  2025 | Unknown
+  https://doi.org/10.1007/s43681-025-00773-x
+
+comparative-study-designing-2025
+  A Comparative Study Towards Designing a Hybrid Architecture of Microservices and LLM-based Multi-Agent Systems
+  2025 | Unknown
+  https://doi.org/10.1109/APSEC66846.2025.00077
+
+automatically-surfacing-opportunities-2025
+  Automatically Surfacing Opportunities for Improvements In Internet-Scale Applications
+  2025 | Unknown
+  https://doi.org/10.1145/3772356.3772423
+
+characterization-study-bugs-2025
+  A Characterization Study of Bugs in LLM Agent Workflow Orchestration Frameworks
+  2025 | Unknown
+  https://doi.org/10.1109/ASE63991.2025.00278
+
+scenariodriven-reference-architecture-2025
+  Towards Scenario-Driven Reference Architecture for Integrating Microservices and LLM-Based Multi-Agent Systems
+  2025 | Unknown
+  https://doi.org/10.1109/CASCON66301.2025.00107
+
+rise-potential-opportunities-2025
+  The rise and potential opportunities of large language model agents in bioinformatics and biomedicine
+  2025 | Unknown
+  https://doi.org/10.1093/bib/bbaf601
+
+llm-as-judge-2025
+  LLM as a Judge
+  2025 | Unknown
+  https://doi.org/10.3156/jsoft.37.3_69_1
+
+vr-20-realtime-2025
+  VR 2.0 in Real-Time Industrial Safety Training for Hazard Recognition
+  2025 | Unknown
+  https://doi.org/10.1109/IETACS68750.2025.11385613
+
+catch-me-if-2025
+  Catch Me If You Can: Rogue AI Detection and Correction at Scale
+  2025 | Unknown
+  https://doi.org/10.3390/electronics14204122
+
+ai-alignment-contemporary-2025
+  AI Alignment: A Contemporary Survey
+  2025 | Unknown
+  https://doi.org/10.1145/3770749
+
+large-language-models-2025
+  Large language models for clinical decision support in gastroenterology and hepatology
+  2025 | Unknown
+  https://doi.org/10.1038/s41575-025-01108-1
+
+sovereignty-usages-generative-2025
+  Sovereignty and usages of Generative Artificial Intelligence in Academic Work
+  2025 | Unknown
+  https://doi.org/10.1109/GACLM67198.2025.11232118
+
+backdoor-threats-large-2025
+  Backdoor threats in large language models—a survey
+  2025 | Unknown
+  https://doi.org/10.1007/s11432-024-4351-3
+
+how-personnel-security-2025
+  How Personnel Security can Inform the New World of AI Insider Risk
+  2025 | Unknown
+  https://doi.org/10.1080/03071847.2025.2550122
+
+case-learned-cloud-2025
+  A Case for Learned Cloud Emulators
+  2025 | Unknown
+  https://doi.org/10.1145/3772356.3772404
+
+multiple-schemaconformant-declarative-2025
+  Multiple Schema-Conformant Declarative Code Generation
+  2025 | Unknown
+  https://doi.org/10.1109/ASE63991.2025.00344
+
+programming-language-techniques-2025
+  Programming Language Techniques for Bridging LLM Code Generation Semantic Gaps
+  2025 | Unknown
+  https://doi.org/10.1145/3759425.3763383
+
+logically-constrained-decoding-2025
+  Logically Constrained Decoding
+  2025 | Unknown
+  https://doi.org/10.18653/v1/2025.mathnlp-main.11
+
+rustassistant-llms-fix-2025
+  RustAssistant: Using LLMs to Fix Compilation Errors in Rust Code
+  2025 | Unknown
+  https://doi.org/10.1109/ICSE55347.2025.00022
+
+structured-outputs-2025
+  Structured Outputs
+  2025 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+profits-optimization-llm-2025
+  Towards Profits Optimization in LLM Inference Model Deployment at the Network Edge
+  2025 | Unknown
+  https://doi.org/10.1109/IPCCC66453.2025.11304692
+
+claude-sonnet-45-2025
+  Claude sonnet 4.5 system card. System card
+  2025 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+grok-4-model-2025
+  Grok 4 model card
+  2025 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+openai-2025
+  OpenAI
+  2025 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+chatgpt-agent-system-2025
+  Chatgpt agent system card
+  2025 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+canaries-coal-mine-2025
+  Canaries in the coal mine? six facts about the recent employment effects of artificial intelligence
+  2025 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+review-research-aiassisted-2025
+  A Review of Research on AI-Assisted Code Generation and AI-Driven Code Review
+  2025 | Unknown
+  https://doi.org/10.54097/d6775287
+
+llmbased-framework-support-2025
+  LLM-based framework to support the construction of valid formal models
+  2025 | Unknown
+  https://doi.org/10.17048/fmfai.2025.78
+
+deployabilitycentric-infrastructureascode-generation-2025
+  Deployability-Centric Infrastructure-as-Code Generation: An LLM-based Iterative Framework
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2506.05623
+
+rubric-all-you-2025-2
+  Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2503.23989
+
+chatassert-llmbased-test-2025
+  ChatAssert: LLM-Based Test Oracle Generation With External Tools Assistance
+  2025 | Unknown
+  https://doi.org/10.1109/TSE.2024.3519159
+
+large-language-models-2025-3
+  Using Large Language Models for Aerospace Code Generation: Methods, Benchmarks, and Potential Values
+  2025 | Unknown
+  https://doi.org/10.3390/aerospace12060498
+
+automated-knowledge-component-2025
+  Automated Knowledge Component Generation and Knowledge Tracing for Coding Problems
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2502.18632
+
+memorize-generalize-evaluating-2025
+  Memorize or Generalize? Evaluating LLM Code Generation with Evolved Questions
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2503.02296
+
+simeval-investigating-similarity-2025
+  SimEval: Investigating the Similarity Obstacle in LLM-based Hardware Code Generation
+  2025 | Unknown
+  https://doi.org/10.1145/3658617.3697624
+
+ckgfuzzer-llmbased-fuzz-2025
+  CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
+  2025 | Unknown
+  https://doi.org/10.1109/ICSE-Companion66252.2025.00079
+
+prompt-injection-attacks-2025
+  Prompt Injection Attacks on Large Language Models: A Survey of Attack Methods, Root Causes, and Defense Strategies
+  2025 | Unknown
+  https://doi.org/10.32604/cmc.2025.074081
+
+comprehensive-review-prompt-2025
+  The Comprehensive Review on Prompt Injection Attacks and Defense Mechanisms in Large Language Models
+  2025 | Unknown
+  https://doi.org/10.61173/390f5h97
+
+prevention-prompt-injection-2025
+  Prevention of Prompt Injection Attacks Over Financial Applications Integrated with LLM
+  2025 | Unknown
+  https://doi.org/10.1109/InCACCT65424.2025.11011372
+
+mitigating-prompt-injection-2025
+  Mitigating Prompt Injection Attacks in ModelAgnostic Networks (MAN)
+  2025 | Unknown
+  https://doi.org/10.1109/IOT-SIU65919.2025.11402845
+
+shadowplay-engineering-defenses-2025
+  ShadowPlay: Engineering Defenses Against Role-Based Prompt Injection and Dependency Hallucination in LLM-Powered Development
+  2025 | Unknown
+  https://doi.org/10.1109/Cyber-AI66431.2025.11233258
+
+novel-security-framework-2025
+  A Novel Security Framework against Prompt Injection Attacks
+  2025 | Unknown
+  https://doi.org/10.1109/CCAI65422.2025.11189427
+
+llm-firewall-validator-2025
+  LLM Firewall Using Validator Agent for Prevention Against Prompt Injection Attacks
+  2025 | Unknown
+  https://doi.org/10.3390/app16010085
+
+cyberphysical-system-defense-2025
+  Cyber-Physical System Defense Against Structured False Data Injection Attacks Using an Adaptive Security Framework with Passivity Enhancement
+  2025 | Unknown
+  https://doi.org/10.52783/jisem.v10i43s.8360
+
+hacking-llms-technical-2025
+  Hacking LLMs: A Technical Analysis of Security Vulnerabilities and Defense Mechanisms
+  2025 | Unknown
+  https://doi.org/10.1109/CICTN64563.2025.10932638
+
+cyberattacks-large-language-2025
+  Cyberattacks on Large Language Models - Attack Detection and Architecture Adaptability
+  2025 | Unknown
+  https://doi.org/10.1109/SoutheastCon56624.2025.10971722
+
+lmdmi-lightweight-multilevel-2025
+  LMDMI: A Lightweight Multilevel Defense against Malicious Inputs for Generative Language Models
+  2025 | Unknown
+  https://doi.org/10.1145/3786709.3786720
+
+new-paradigms-adversarial-2025
+  New Paradigms of Adversarial Attacks Against Large Language Models and Their Defense Mechanisms
+  2025 | Unknown
+  https://doi.org/10.1109/AIAHPC66801.2025.11290591
+
+llmguarded-clouds-leveraging-2025
+  LLM-Guarded Clouds: Leveraging Generative AI for Proactive Threat Hunting and Adaptive Defense in Hybrid Cloud Environments
+  2025 | Unknown
+  https://doi.org/10.1109/GCAT66372.2025.11368582
+
+efficient-jailbreak-mitigation-2025
+  Efficient Jailbreak Mitigation Using Semantic Linear Classification in a Multi-Staged Pipeline
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2512.19011
+
+method-counteracting-manipulative-2025
+  Method of Counteracting Manipulative Queries to Large Language Models
+  2025 | Unknown
+  https://doi.org/10.20535/tacs.2664-29132025.3.345389
+
+threats-defenses-large-2025
+  Threats and Defenses for Large Language Models: A Survey
+  2025 | Unknown
+  https://doi.org/10.1145/3773365.3773631
+
+prompt-injection-attack-2025
+  Prompt Injection Attack Detection with Machine Learning
+  2025 | Unknown
+  https://doi.org/10.1109/ASYU67174.2025.11208433
+
+real-time-ai-2025
+  REAL TIME AI DEFENSE AGAINST PROMPT INJECTION ATTACKS
+  2025 | Unknown
+  https://doi.org/10.37962/icydd/2025/23-24
+
+hybrid-constitutional-classifiers-2025
+  Hybrid Constitutional Classifiers for Prompt Injection Defense
+  2025 | Unknown
+  https://doi.org/10.1109/eIT64391.2025.11103606
+
+piguard-prompt-injection-2025
+  PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free
+  2025 | Unknown
+  https://doi.org/10.18653/v1/2025.acl-long.1468
+
+enhancing-security-large-2025
+  Enhancing Security in Large Language Models: A Comprehensive Review of Prompt Injection Attacks and Defenses
+  2025 | Unknown
+  https://doi.org/10.32604/jai.2025.069841
+
+false-data-injection-2025
+  False Data Injection Attack Detection and Localization Framework in Power Distribution Systems Using a Novel Ensemble of CNNs and Explainable Artificial Intelligence
+  2025 | Unknown
+  https://doi.org/10.1109/TIA.2025.3532917
+
+mind-mapping-prompt-2025
+  Mind Mapping Prompt Injection: Visual Prompt Injection Attacks in Modern Large Language Models
+  2025 | Unknown
+  https://doi.org/10.3390/electronics14101907
+
+weaponizing-words-direct-2025
+  Weaponizing Words: Direct & Indirect Prompt Injection Attacks on LLM
+  2025 | Unknown
+  https://doi.org/10.1145/3769694.3771165
+
+defending-aipowered-commerce-2025
+  Defending The AI-Powered Commerce Stack: A Security Framework For Prompt Injection, Review Integrity, And Privacy In Genai Retail Systems
+  2025 | Unknown
+  https://doi.org/10.63278/jicrcr.vi.3471
+
+drip-defending-prompt-2025
+  DRIP: Defending Prompt Injection via De-instruction Training and Residual Fusion Model Architecture
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2511.00447
+
+adversial-prompt-injection-2025
+  Adversial Prompt Injection in Large Language Models: Taxonomy, Exploits, and Mitigation Frameworks
+  2025 | Unknown
+  https://doi.org/10.1109/ICRCICN68210.2025.11364988
+
+comprehensive-analysis-machine-2025
+  Comprehensive Analysis of Machine Learning and Deep Learning models on Prompt Injection Classification using Natural Language Processing techniques
+  2025 | Unknown
+  https://doi.org/10.54392/irjmt2523
+
+agentfuzzer-generic-blackbox-2025
+  AGENTFUZZER: Generic Black-Box Fuzzing for Indirect Prompt Injection against LLM Agents
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2505.05849
+
+meticulous-thought-defender-2025
+  Meticulous Thought Defender: Fine-Grained Chain-of-Thought (CoT) for Detecting Prompt Injection Attacks of Large Language Models
+  2025 | Unknown
+  https://doi.org/10.1109/ACCESS.2025.3583759
+
+disrupting-large-language-2025
+  Disrupting Large Language Models with Hidden Prompt Injection Attacks Embedded in HTML Pages
+  2025 | Unknown
+  https://doi.org/10.1109/OPTIM-ACEMP62776.2025.11075247
+
+reconstructionbased-prompt-generation-2025
+  Reconstruction-Based Prompt Generation Algorithm for Prompt Injection Attacks
+  2025 | Unknown
+  https://doi.org/10.1109/AANN66429.2025.11257661
+
+adversarial-multilingual-threats-2025
+  Adversarial and Multilingual Threats in Retrieval-Augmented Generation: From Prompt Injection to Model Exploitation
+  2025 | Unknown
+  https://doi.org/10.1109/GACLM67198.2025.11231998
+
+dark-side-ai-2025
+  The Dark Side of AI: a Systematization of Knowledge on Jailbreaking and Prompt Injection in LLMs
+  2025 | Unknown
+  https://doi.org/10.1109/ICONAT66879.2025.11362401
+
+imagebased-prompt-injection-2025
+  Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions
+  2025 | Unknown
+  https://doi.org/10.1109/FLLM67465.2025.11391218
+
+adaptive-privacypreserving-detection-2025
+  Adaptive and Privacy-Preserving Detection of Evolving Prompt Injection Attacks in Large Language Models
+  2025 | Unknown
+  https://doi.org/10.1109/ICSCN67106.2025.11308512
+
+experimental-evaluation-prompt-2025
+  An Experimental Evaluation of Prompt Injection Attacks on LLM-Based Content Moderation Systems
+  2025 | Unknown
+  https://doi.org/10.1109/SNAMS67467.2025.11390931
+
+prompt-injection-detection-2025
+  Prompt Injection Detection in LLM Integrated Applications
+  2025 | Unknown
+  https://doi.org/10.53941/ijndi.2025.100013
+
+evaluating-prompt-injection-2025
+  Evaluating Prompt Injection Attacks with LSTM-Based Generative Adversarial Networks: A Lightweight Alternative to Large Language Models
+  2025 | Unknown
+  https://doi.org/10.3390/make7030077
+
+survey-adversarial-examples-2025
+  A Survey of Adversarial Examples in Computer Vision: Attack, Defense, and Beyond
+  2025 | Unknown
+  https://doi.org/10.1051/wujns/2025301001
+
+damitsql-detecting-mitigating-2025
+  DaMiT-SQL: Detecting and Mitigating Text-to-SQL Prompt Injection Attacks
+  2025 | Unknown
+  https://doi.org/10.1109/CASCON66301.2025.00116
+
+prompt-injection-attacks-2025-2-2
+  Prompt injection attacks on vision language models in oncology
+  2025 | Unknown
+  https://doi.org/10.1038/s41467-024-55631-x
+
+among-us-sandbox-2025
+  Among Us: A Sandbox for Agentic Deception
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2504.04072
+
+hidden-dimensions-llm-2025
+  The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Safety Analysis
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2502.09674
+
+feedbacktotext-alignment-llm-2025
+  Feedback-to-Text Alignment: LLM Learning Consistent Natural Language Generation from User Ratings and Loyalty Data
+  2025 | Unknown
+  https://doi.org/10.1109/ICAIDE65466.2025.11189700
+
+leveraging-searchbased-pretrained-2025
+  Leveraging Search-Based and Pre-Trained Code Language Models for Automated Program Repair
+  2025 | Unknown
+  https://doi.org/10.1145/3672608.3707774
+
+comparative-analysis-pretrained-2025
+  Comparative Analysis of Pre-trained Code Language Models for Automated Program Repair via Code Infill Generation
+  2025 | Unknown
+  https://doi.org/10.1145/3742876.3742881
+
+autostructor-generative-aibased-2025
+  AutoStructor: A Generative AI-Based Framework for Automated Program Repair with Deep Learning-Guided Fault Localization
+  2025 | Unknown
+  https://doi.org/10.1109/UBMK67458.2025.11206755
+
+lmfuzz-program-repair-2025
+  LMFuzz: Program repair fuzzing based on large language models
+  2025 | Unknown
+  https://doi.org/10.1007/s10515-025-00568-8
+
+codetranfix-neural-machine-2025
+  CodeTranFix: A Neural Machine Translation Approach for Context-Aware Java Program Repair with CodeBERT
+  2025 | Unknown
+  https://doi.org/10.3390/app15073632
+
+peft-multiline-complex-2025
+  Peft: Multiline Complex Patch Correctness Assessment Based on Fine-Tuning Large Language Model with “Golden Data”
+  2025 | Unknown
+  https://doi.org/10.1109/QRS65678.2025.00024
+
+seeing-fixing-crossmodal-2025
+  Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Repair
+  2025 | Unknown
+  https://doi.org/10.1109/ASE63991.2025.00100
+
+endtoend-secure-code-2025
+  End-to-End Secure Code Repair with Context-Aware Anonymization and Isolated Agent Execution
+  2025 | Unknown
+  https://doi.org/10.1109/ICBCTIS66509.2025.11387695
+
+smelldetector-multilabel-code-2025
+  SmellDetector: Multi-Label Code Smell Detection and Refactoring with Large Language Models
+  2025 | Unknown
+  https://doi.org/10.1109/IJCNN64981.2025.11227837
+
+program-synthesis-dataset-2025
+  A Program Synthesis Dataset for LLM Temperature Analysis
+  2025 | Unknown
+  https://doi.org/10.1109/ACCESS.2025.3625443
+
+finding-trojan-triggers-2025
+  Finding Trojan Triggers in Code LLMs: An Occlusion-Based Human-in-the-Loop Approach
+  2025 | Unknown
+  https://doi.org/10.1109/CAIN66642.2025.00050
+
+comprehensive-finetuning-large-2025
+  Comprehensive Fine-Tuning Large Language Models of Code for Automated Program Repair
+  2025 | Unknown
+  https://doi.org/10.1109/TSE.2025.3532759
+
+automated-program-refinement-2025
+  Automated Program Refinement: Guide and Verify Code Large Language Model with Refinement Calculus
+  2025 | Unknown
+  https://doi.org/10.1145/3704905
+
+assessing-effectiveness-recent-2025
+  Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair
+  2025 | Unknown
+  https://doi.org/10.1007/s10515-025-00549-x
+
+comparative-study-large-2025
+  A comparative study of large language models with chain-of thought prompting for automated program repair
+  2025 | Unknown
+  https://doi.org/10.11591/ijai.v14.i6.pp4579-4589
+
+instructrepair-instruct-large-2025
+  InstructRepair: Instruct Large Language Models With Rich Bug Information for Automated Program Repair
+  2025 | Unknown
+  https://doi.org/10.1109/TIFS.2025.3618407
+
+making-case-llmgenerated-2025
+  Making the Case for LLM-Generated Automated Program Repair Benchmarks
+  2025 | Unknown
+  https://doi.org/10.1109/SNPD65828.2025.11252591
+
+analysis-research-status-2025
+  Analysis of Research Status in the Field of Automated Program Repair
+  2025 | Unknown
+  https://doi.org/10.61173/3k7v9734
+
+sustainability-face-automated-2025
+  The Sustainability Face of Automated Program Repair Tools
+  2025 | Unknown
+  https://doi.org/10.1145/3744900
+
+interactionaware-patch-assessment-2025
+  Interaction-Aware Patch Assessment for Multi-Fault Automated Program Repair
+  2025 | Unknown
+  https://doi.org/10.1109/ASE63991.2025.00319
+
+templateguided-program-repair-2025
+  Template-Guided Program Repair in the Era of Large Language Models
+  2025 | Unknown
+  https://doi.org/10.1109/ICSE55347.2025.00030
+
+patchagent-practical-program-2025
+  PATCHAGENT: A Practical Program Repair Agent Mimicking Human Expertise
+  2025 | Unknown
+  https://www.semanticscholar.org/paper/b07de7825deb942c548489371657935d78f8bf8b
+
+evoapr-enhancing-large-2025
+  EvoAPR: Enhancing Large Language Models for Automatic Program Repair with Genetic Algorithm and Dynamic LoRA
+  2025 | Unknown
+  https://doi.org/10.1109/ICWS67624.2025.00123
+
+orllmagent-automating-modeling-2025
+  OR-LLM-Agent: Automating Modeling and Solving of Operations Research Optimization Problem with Reasoning Large Language Model
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2503.10009
+
+automated-vulnerability-repair-2025
+  Automated Vulnerability Repair of Obfuscated and Non-Obfuscated Smart Contracts Using Large Language Models
+  2025 | Unknown
+  https://doi.org/10.1109/PRDC67299.2025.00030
+
+contextaware-prompting-llmbased-2025
+  Context-aware prompting for LLM-based program repair
+  2025 | Unknown
+  https://doi.org/10.1007/s10515-025-00512-w
+
+systematic-exploration-ctorust-2025
+  A systematic exploration of C-to-rust code translation based on large language models: prompt strategies and automated repair
+  2025 | Unknown
+  https://doi.org/10.1007/s10515-025-00570-0
+
+memorization-llmbased-program-2025
+  Memorization in LLM-Based Program Repair
+  2025 | Unknown
+  https://doi.org/10.1109/APR66717.2025.00011
+
+premm-llmbased-program-2025
+  PReMM: LLM-Based Program Repair for Multi-method Bugs via Divide and Conquer
+  2025 | Unknown
+  https://doi.org/10.1145/3763097
+
+empirical-evaluation-llms-2025
+  Empirical Evaluation of LLMs for Automated Program Fault Localisation
+  2025 | Unknown
+  https://doi.org/10.1109/QRS-C65679.2025.00063
+
+integrating-large-language-2025
+  Integrating Large Language Models in Automated Program Verification
+  2025 | Unknown
+  https://doi.org/10.34727/2025/isbn.978-3-85448-084-6_4
+
+reapr-automatic-program-2025
+  ReAPR: Automatic program repair via retrieval-augmented large language models
+  2025 | Unknown
+  https://doi.org/10.1007/s11219-025-09728-1
+
+demystifying-memorization-llmbased-2025
+  Demystifying Memorization in LLM-Based Program Repair via a General Hypothesis Testing Framework
+  2025 | Unknown
+  https://doi.org/10.1145/3729390
+
+daloapr-llmbased-automatic-2025
+  DALO-APR: LLM-based automatic program repair with data augmentation and loss function optimization
+  2025 | Unknown
+  https://doi.org/10.1007/s11227-025-07102-3
+
+aicode-wizard-ai-2025
+  AI-Code Wizard an AI Code Review & Generation Assistant
+  2025 | Unknown
+  https://doi.org/10.55041/ijsrem50852
+
+ai-code-review-2025
+  AI Code Review Assistant: A Modern Web Based Solution for Automated Code Analysis and Developer Productivity Enhancement
+  2025 | Unknown
+  https://doi.org/10.22214/ijraset.2025.73682
+
+support-not-automation-2025
+  Support, Not Automation: Towards AI-supported Code Review For Code Quality and Beyond
+  2025 | Unknown
+  https://doi.org/10.1145/3696630.3728505
+
+integrating-aidriven-automated-2025
+  Integrating AI-Driven Automated Code Review in Agile Development: Benefits, Challenges, and Best Practices
+  2025 | Unknown
+  https://doi.org/10.22161/ijaems.112.1
+
+adaptive-multiagent-ai-2025
+  Adaptive Multi-Agent AI Framework for Real-Time Energy Optimization and Context-Aware Code Review in Software Development
+  2025 | Unknown
+  https://doi.org/10.1109/ISCTIS65944.2025.11066037
+
+aiassisted-code-review-2025
+  AI-Assisted Code Review and Defect Prediction Research in Software Engineering
+  2025 | Unknown
+  https://doi.org/10.1109/ICCR67387.2025.11291978
+
+aidriven-continuous-integration-2025
+  AI-Driven Continuous Integration: Automating Code Review and Deployment with LLMs
+  2025 | Unknown
+  https://doi.org/10.1109/FMEC65595.2025.11119365
+
+codingcare-ai-code-2025
+  CodingCare: AI Code Generation Security Framework for Common Vulnerability Mitigation
+  2025 | Unknown
+  https://doi.org/10.1145/3732945.3732990
+
+multiagent-llm-collaboration-2025
+  Multi-Agent LLM Collaboration for Adaptive Code Review, Debugging, and Security Analysis
+  2025 | Unknown
+  https://doi.org/10.1109/MRAI65197.2025.11135756
+
+literature-review-aipowered-2025
+  A Literature Review on AI-Powered Smart Code Base Navigator
+  2025 | Unknown
+  https://doi.org/10.55041/ijsrem52774
+
+leveraging-generative-ai-2025
+  Leveraging Generative AI for Automated Code Generation and Security Compliance in Cloud-Based DevOps Pipelines: A Review
+  2025 | Unknown
+  https://doi.org/10.2139/ssrn.5218298
+
+aiassisted-code-editors-2025
+  AI-Assisted Code Editors with Real-Time Collaboration: A Comprehensive Review
+  2025 | Unknown
+  https://doi.org/10.55041/ijsrem55648
+
+aidriven-innovations-software-2025
+  AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions
+  2025 | Unknown
+  https://doi.org/10.3390/app15031344
+
+from-code-life-2025
+  From Code to Life: The AI‐Driven Revolution in Genome Editing
+  2025 | Unknown
+  https://doi.org/10.1002/advs.202417029
+
+poetics-code-generative-2025
+  The Poetics of Code: Generative AI and the Redefinition of Literary Creativity
+  2025 | Unknown
+  https://doi.org/10.53032/tvcr/2025.v7n1.23
+
+rapid-gcoding-obtaining-2025
+  Rapid G-Coding – Obtaining G-code Using AI
+  2025 | Unknown
+  https://doi.org/10.1088/1757-899X/1339/1/012014
+
+teaching-learning-computer-2025
+  Teaching and learning computer programming using ChatGPT: A rapid review of literature amid the rise of generative AI technologies
+  2025 | Unknown
+  https://doi.org/10.1007/s10639-025-13452-5
+
+impact-eu-laws-2025
+  Impact of EU Laws on AI Adoption in Smart Grids: A Review of Regulatory Barriers, Technological Challenges, and Stakeholder Benefits
+  2025 | Unknown
+  https://doi.org/10.3390/en18123002
+
+impact-artificial-intelligence-2025
+  The Impact of Artificial Intelligence Enhanced No-Code Software Development Platforms on Software Processes: A Literature Review
+  2025 | Unknown
+  https://doi.org/10.29130/dubited.1554356
+
+artificial-intelligence-software-2025
+  Artificial Intelligence in Software Development: A Review of Code Generation, Testing, Maintenance and Security
+  2025 | Unknown
+  https://doi.org/10.47191/ijcsrr/v8-i4-08
+
+perspective-review-will-2025
+  Perspective review: Will generative AI make common data models obsolete in future analyses of distributed data networks?
+  2025 | Unknown
+  https://doi.org/10.1177/20420986251332743
+
+review-generative-ai-2025
+  A Review of Generative AI and DevOps Pipelines: CI/CD, Agentic Automation, MLOps Integration, and LLMs
+  2025 | Unknown
+  https://doi.org/10.55524/ijircst.2025.13.4.1
+
+artificial-intelligence-drug-2025
+  Artificial Intelligence in Drug Discovery: A Review of AI Approaches for Target Identification
+  2025 | Unknown
+  https://doi.org/10.54216/mor.030102
+
+systematic-literature-review-2025-2
+  Systematic Literature Review on Generative AI: Ethical Challenges and Opportunities
+  2025 | Unknown
+  https://doi.org/10.14569/ijacsa.2025.0160530
+
+benchmarking-ai-models-2025
+  Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Enhancement Protocol
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2503.05860
+
+orthopaedics-entering-age-2025
+  Is orthopaedics entering the age of generative AI?—A narrative review of current applications challenges and future directions
+  2025 | Unknown
+  https://doi.org/10.1002/ksa.70145
+
+chaos-engineering-20-2025
+  Chaos Engineering 2.0: A Review of AI-Driven, Policy-Guided Resilience for Multi-Cloud Systems
+  2025 | Unknown
+  https://doi.org/10.69739/jcsp.v2i2.846
+
+systematic-review-generative-2025
+  A Systematic Review of Generative AI in K-12: Mapping Goals, Activities, Roles, and Outcomes via the 3P Model
+  2025 | Unknown
+  https://doi.org/10.3390/systems13100840
+
+short-review-responsible-2025
+  A Short Review of Responsible AI Music Generation
+  2025 | Unknown
+  https://doi.org/10.5281/zenodo.16946342
+
+aipowered-software-development-2025
+  AI-Powered Software Development: A Systematic Review of Recommender Systems for Programmers
+  2025 | Unknown
+  https://doi.org/10.3390/computers14040119
+
+finetuned-large-language-2025
+  A fine-tuned large language model based molecular dynamics agent for code generation to obtain material thermodynamic parameters
+  2025 | Unknown
+  https://doi.org/10.1038/s41598-025-92337-6
+
+evaluation-impact-code-2025
+  An Evaluation of the Impact of Code Generation Tools on Software Development
+  2025 | Unknown
+  https://doi.org/10.5753/sbsi.2025.246605
+
+review-aidriven-approaches-2025
+  Review of AI-Driven Approaches for Automated Defect Detection and Classification in Software Testing
+  2025 | Unknown
+  https://doi.org/10.52403/ijrr.20250619
+
+democratizing-digital-transformation-2025
+  Democratizing Digital Transformation: A Multisector Study of Low-Code Adoption Patterns, Limitations, and Emerging Paradigms
+  2025 | Unknown
+  https://doi.org/10.3390/app15126481
+
+aipowered-learning-support-2025
+  AI-Powered Learning Support: A Study of Retrieval-Augmented Generation (RAG) Chatbot Effectiveness in an Online Course
+  2025 | Unknown
+  https://doi.org/10.62273/zklk5988
+
+aipowered-solutions-computer-2025
+  AI-Powered Solutions in Computer Science: A Comprehensive COPRAS Evaluation
+  2025 | Unknown
+  https://doi.org/10.46632/jdaai/3/1/9
+
+autonomous-supplier-evaluation-2025
+  Autonomous Supplier Evaluation and Data Stewardship with AI: Building Transparent and Resilient Supply Chains
+  2025 | Unknown
+  https://doi.org/10.22399/ijcesen.3854
+
+evaluating-dental-ai-2025
+  Evaluating Dental AI Research Papers: Key Considerations for Editors and Reviewers.
+  2025 | Unknown
+  https://doi.org/10.1016/j.jdent.2025.105867
+
+role-artificial-intelligence-2025-2
+  The Role of Artificial Intelligence in Computer Science Education: A Systematic Review with a Focus on Database Instruction
+  2025 | Unknown
+  https://doi.org/10.3390/app15073960
+
+assessment-cs50-ai-2025
+  Assessment in CS50 with AI: Leveraging Generative Artificial Intelligence for Personalized Student Evaluation
+  2025 | Unknown
+  https://doi.org/10.1145/3641555.3705061
+
+navigating-copyright-aienhanced-2025
+  Navigating Copyright in AI-Enhanced Game Design: Legal Challenges in Multimodal and Dynamic Content Creation
+  2025 | Unknown
+  https://doi.org/10.58567/jie03010001
+
+mixrevdetect-detecting-aigenerated-2025
+  MixRevDetect: Towards Detecting AI-Generated Content in Hybrid Peer Reviews
+  2025 | Unknown
+  https://doi.org/10.18653/v1/2025.naacl-short.79
+
+large-language-models-2025-5
+  Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of Dual-Use Risks, AI-Generated Malware, Explainability, and Defensive Strategies
+  2025 | Unknown
+  https://doi.org/10.1109/SVCC65277.2025.11133642
+
+efficiency-fairness-security-2025
+  On Efficiency, Fairness and Security in AI Accelerator Resource Sharing: A Survey
+  2025 | Unknown
+  https://doi.org/10.1145/3721427
+
+developing-custom-computer-2025
+  Developing custom computer vision models with Njobvu‐AI: A collaborative, user‐friendly platform for ecological research
+  2025 | Unknown
+  https://doi.org/10.1002/eap.70096
+
+rathandravidianlangtech-2025-annaparavai-2025
+  RATHAN@DravidianLangTech 2025: Annaparavai - Separate the Authentic Human Reviews from AI-generated one
+  2025 | Unknown
+  https://doi.org/10.18653/v1/2025.dravidianlangtech-1.66
+
+application-generative-ai-2025
+  Application of Generative AI to Enhance Obstetrics and Gynecology Research
+  2025 | Unknown
+  https://doi.org/10.1055/a-2616-4182
+
+introduction-generative-ai-2025
+  Introduction to Generative AI and DevOps: Synergies, Challenges and Applications
+  2025 | Unknown
+  https://doi.org/10.48175/ijarsct-23634
+
+aipowered-software-development-2025-2
+  AI-Powered Software Development Life Cycle: From Requirements to Maintenance
+  2025 | Unknown
+  https://doi.org/10.64229/ykh1jf83
+
+diagnostic-codes-ai-2025
+  Diagnostic Codes in AI prediction models and Label Leakage of Same-admission Clinical Outcomes
+  2025 | Unknown
+  https://doi.org/10.1101/2025.08.09.25333360
+
+case-study-ai-2025
+  Case Study of Using AI as Co-Pilot in Biotech Research: Functional Network Analysis of Invasive Cancer
+  2025 | Unknown
+  https://doi.org/10.1101/2025.05.14.654152
+
+implementing-evaluating-aiassisted-2025
+  Towards Implementing and Evaluating AI-Assisted Pull Requests in Software Engineering Education
+  2025 | Unknown
+  https://doi.org/10.1109/CSEET66350.2025.00008
+
+aiempowered-superresolution-microscopy-2025
+  AI-empowered super-resolution microscopy: a revolution in nanoscale cellular imaging.
+  2025 | Unknown
+  https://doi.org/10.1038/s41592-025-02871-4
+
+meet-your-new-2025
+  Meet your new AI teacher: hypes, promises, and realities in AI-powered language education platforms
+  2025 | Unknown
+  https://doi.org/10.1515/applirev-2025-0224
+
+impact-ai-tools-2025
+  The Impact of AI Tools on Software Development: A Case Study with GitHub Copilot and Other AI Assistants
+  2025 | Unknown
+  https://doi.org/10.5220/0013294700003929
+
+precedentbased-professional-role-2025
+  Precedent-Based Professional Role Ethics for AI Decision Analysis
+  2025 | Unknown
+  https://doi.org/10.1609/aies.v8i3.36794
+
+aibased-toolchain-vision-2025
+  An AI-Based Toolchain Vision for Developing Safety Critical and Compliant Systems
+  2025 | Unknown
+  https://doi.org/10.65391/r3356
+
+comparative-study-ai-2025
+  Comparative Study of AI and Human Evaluation for Student Website Projects
+  2025 | Unknown
+  https://doi.org/10.34190/icair.5.1.4301
+
+from-cuffs-code-2025
+  From Cuffs to Code: Machine Learning in Non-Invasive Blood Pressure Monitoring.
+  2025 | Unknown
+  https://doi.org/10.1016/j.accpm.2025.101655
+
+ewallet-delivery-technology-2025
+  E-wallet Delivery Technology Architecture Adoption: A Review
+  2025 | Unknown
+  https://doi.org/10.17576/jkukm-2025-37(1)-14
+
+grammllm-grammarguided-llm-2025
+  GrammLLM: Grammar-Guided LLM Test Generation for Compiler Validation
+  2025 | Unknown
+  https://doi.org/10.1109/ICM66518.2025.11322450
+
+rug-turbo-llm-2025
+  Rug: Turbo Llm for Rust Unit Test Generation
+  2025 | Unknown
+  https://doi.org/10.1109/ICSE55347.2025.00097
+
+test-generation-from-2025
+  Test Generation from Use Case Specifications for IoT Systems: Custom, LLM-Based, and Hybrid Approaches
+  2025 | Unknown
+  https://doi.org/10.1109/ICST62969.2025.10988996
+
+test-case-generation-2025
+  Test Case Generation for Requirements in Natural Language - An LLM Comparison Study
+  2025 | Unknown
+  https://doi.org/10.1145/3717383.3717389
+
+evaluating-effectiveness-large-2025
+  Evaluating the Effectiveness of Large Language Models in Automated Unit Test Generation
+  2025 | Unknown
+  https://doi.org/10.1109/ICARC64760.2025.10962997
+
+llmdriven-selfimproving-framework-2025
+  LLM-Driven, Self-Improving Framework for Security Test Automation: Leveraging Karate DSL for Augmented API Resilience
+  2025 | Unknown
+  https://doi.org/10.1109/ACCESS.2025.3554960
+
+beyond-testtime-compute-2025
+  Beyond Test-Time Compute Strategies: Advocating Energy-per-Token in LLM Inference
+  2025 | Unknown
+  https://doi.org/10.1145/3721146.3721953
+
+demystifying-llmbased-software-2025
+  Demystifying LLM-Based Software Engineering Agents
+  2025 | Unknown
+  https://doi.org/10.1145/3715754
+
+advancing-large-language-2025
+  Advancing Large Language Models in Code Generation: Usaco Benchmark and Bug Mitigation Insights
+  2025 | Unknown
+  https://doi.org/10.1109/ICPC66645.2025.00057
+
+beyond-accuracy-evaluating-2025
+  Beyond Accuracy: Evaluating and Explaining the Capability Boundaries of Large Language Models in Syntax-Preserving Code Translation
+  2025 | Unknown
+  https://doi.org/10.32604/cmc.2025.070511
+
+specializing-llms-code-2025
+  Specializing LLMs for Code: A Framework for Efficient Adaptation and Robust Evaluation
+  2025 | Unknown
+  https://doi.org/10.1109/FLLM67465.2025.11391170
+
+can-llms-write-2025
+  Can LLMs Write Fast System-Aware Numerical Computation Code?
+  2025 | Unknown
+  https://doi.org/10.1109/SMC58881.2025.11343280
+
+plot2code-comprehensive-benchmark-2025
+  Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots
+  2025 | Unknown
+  https://doi.org/10.18653/v1/2025.findings-naacl.164
+
+how-should-i-2025
+  How Should I Build A Benchmark? Revisiting Code-Related Benchmarks For LLMs
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2501.10711
+
+has-my-code-2025
+  Has My Code Been Stolen for Model Training? A Naturalness Based Approach to Code Contamination Detection
+  2025 | Unknown
+  https://doi.org/10.1145/3715765
+
+lissa-generic-traceability-2025
+  LiSSA: Toward Generic Traceability Link Recovery Through Retrieval- Augmented Generation
+  2025 | Unknown
+  https://doi.org/10.1109/ICSE55347.2025.00186
+
+investigating-retrieval-augmented-2025
+  Investigating Retrieval Augmented Generation for LLM-Based Code Generation
+  2025 | Unknown
+  https://doi.org/10.1109/FLLM67465.2025.11391177
+
+enhancing-ability-llms-2025
+  Enhancing the ability of LLMs for spaceborne equipment code generation via retrieval-augmented generation and contrastive learning
+  2025 | Unknown
+  https://doi.org/10.1007/s10515-025-00545-1
+
+hypergraphrag-retrievalaugmented-generation-2025-2
+  HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2503.21322
+
+retrievalaugmented-generation-framework-2025
+  Towards a Retrieval-Augmented Generation Framework for Originality Evaluation in Projects-Based Learning Classrooms
+  2025 | Unknown
+  https://doi.org/10.3390/educsci15060706
+
+empowering-lowresource-languages-2025
+  Empowering Low-Resource Languages: TraSe Architecture for Enhanced Retrieval-Augmented Generation in Bangla
+  2025 | Unknown
+  https://doi.org/10.18653/v1/2025.lm4uc-1.2
+
+regaining-control-enabling-2025
+  Regaining Control: Enabling Educators to Build Specialized AI Chat Bots with Retrieval Augmented Generation
+  2025 | Unknown
+  https://doi.org/10.5220/0013425500003932
+
+automated-vulnerability-repair-2025-2
+  Automated Vulnerability Repair Based on Retrieval-Augmented Generation
+  2025 | Unknown
+  https://doi.org/10.1109/ISEAE64934.2025.11041756
+
+advancing-engineering-research-2025
+  Advancing engineering research through context-aware and knowledge graph–based retrieval-augmented generation
+  2025 | Unknown
+  https://doi.org/10.3389/frai.2025.1697169
+
+retrievalaugmented-generation-interpreting-2025
+  Retrieval-augmented generation for interpreting clinical laboratory regulations using large language models
+  2025 | Unknown
+  https://doi.org/10.1016/j.jpi.2025.100520
+
+agentic-ai-retrievalaugmented-2025
+  Agentic AI with retrieval-augmented generation for automated compliance assistance in finance
+  2025 | Unknown
+  https://doi.org/10.30574/ijsra.2025.15.2.1522
+
+marag-automating-role-2025
+  MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation
+  2025 | Unknown
+  https://doi.org/10.24963/ijcai.2025/846
+
+enhancing-crosslanguage-code-2025
+  Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation
+  2025 | Unknown
+  https://doi.org/10.18653/v1/2025.knowledgenlp-1.8
+
+analysing-codebased-retrieval-2025
+  Analysing Code-Based Retrieval Augmented Generation Methods for Knowledge Retention
+  2025 | Unknown
+  https://doi.org/10.1109/ACCESS65134.2025.11135582
+
+codewisp-ast-guided-2025
+  CodeWisp: AST Guided Retrieval Augmented Generation for Code Generation and Completion
+  2025 | Unknown
+  https://doi.org/10.1109/WINCOM65874.2025.11313399
+
+accessible-reliable-ai-2025
+  Accessible and Reliable AI Coding Tutors: Augmenting Large Language Models with Retrieval-Augmented Generation for Java Programming
+  2025 | Unknown
+  https://doi.org/10.1109/EDUCON62633.2025.11016497
+
+effective-emulation-pss-2025
+  Effective Emulation of PSS Systems via Retrieval Augmented Generation
+  2025 | Unknown
+  https://doi.org/10.1109/ICCBDAI66607.2025.11388283
+
+retrieval-augmented-generation-2025
+  Retrieval Augmented Generation for HPC Code Optimization
+  2025 | Unknown
+  https://doi.org/10.31274/cc-20260223-58
+
+retrievalaugmented-code-generation-2025-2
+  Retrieval-Augmented Code Generation of Low-Resource Programming Languages
+  2025 | Unknown
+  https://doi.org/10.1109/APSEC66846.2025.00106
+
+gracg-graph-retrieval-2025
+  GRACG: Graph Retrieval Augmented Code Generation
+  2025 | Unknown
+  https://doi.org/10.1109/ASEW67777.2025.00060
+
+hyracc-hybrid-retrievalaugmented-2025
+  HyRACC: A Hybrid Retrieval-Augmented Framework for More Efficient Code Completion
+  2025 | Unknown
+  https://doi.org/10.1109/Forge66646.2025.00013
+
+referencebased-retrievalaugmented-unit-2025
+  Reference-Based Retrieval-Augmented Unit Test Generation
+  2025 | Unknown
+  https://doi.org/10.1145/3765758
+
+enhancing-code-transformation-2025
+  Enhancing Code Transformation in Large Language Models Through Retrieval-Augmented Fine-Tuning
+  2025 | Unknown
+  https://doi.org/10.1109/TCE.2025.3565294
+
+racgdrt-retrieval-augumented-2025
+  RACG-DRT: Retrieval Augumented Code Generation Based on Dynamic Revision of Thoughts
+  2025 | Unknown
+  https://doi.org/10.1109/ICBDSE65491.2025.11220101
+
+oiassistant-retrieval-augmented-2025
+  OI-Assistant: A Retrieval Augmented System for Similar Problem Discovery and Interactive Learning in Competitive Programming
+  2025 | Unknown
+  https://doi.org/10.15388/ioi.2025.09
+
+raml-retrievalaugmented-localization-2025
+  RAML: Toward Retrieval-Augmented Localization of Malicious Payloads in Android Apps
+  2025 | Unknown
+  https://doi.org/10.1109/ASE63991.2025.00351
+
+retrieve-refine-both-2025
+  Retrieve, Refine, or Both? Using Task-Specific Guidelines for Secure Python Code Generation
+  2025 | Unknown
+  https://doi.org/10.1109/ICSME64153.2025.00041
+
+secure-code-generation-2025
+  Towards Secure Code Generation With LLMs: A Study on Common Weakness Enumeration
+  2025 | Unknown
+  https://doi.org/10.1109/TSE.2025.3619281
+
+geocolab-llmbased-multiagent-2025
+  GeoColab: an LLM-based multi-agent collaborative framework for geospatial code generation
+  2025 | Unknown
+  https://doi.org/10.1080/17538947.2025.2569405
+
+paracoder-parallel-code-2025
+  ParaCoder: Parallel Code Generation with Large Language Model
+  2025 | Unknown
+  https://doi.org/10.1145/3711708.3723442
+
+apicoder-multirole-large-2025
+  APICoder: A Multi-Role Large Language Model Framework for API Service Call Code Generation
+  2025 | Unknown
+  https://doi.org/10.1109/ICWS67624.2025.00109
+
+llmpowered-code-generation-2025
+  LLM-Powered Code Generation Using RAG Framework with LLaMA 3
+  2025 | Unknown
+  https://doi.org/10.1109/CSITSS67709.2025.11294234
+
+reactnex-modular-component-2025
+  React-Nex – A Modular Component Library with AI-Driven Code Generation
+  2025 | Unknown
+  https://doi.org/10.55041/ijsrem44477
+
+cover-me-mitigating-2025
+  Cover Me: Mitigating Multi-Agent System Failure through Reinforcement Learning—A Technology Demonstration
+  2025 | Unknown
+  https://doi.org/10.1145/3679240.3735501
+
+tiered-agentic-oversight-2025-2
+  Tiered Agentic Oversight: A Hierarchical Multi-Agent System for AI Safety in Healthcare
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2506.12482
+
+deep-reinforcement-learningenhanced-2025
+  A Deep Reinforcement Learning-Enhanced Multi-Agent System for Ontology-Based Health Management in Nanotechnology
+  2025 | Unknown
+  https://doi.org/10.3390/electronics14234580
+
+abstract-4364623-development-2025
+  Abstract 4364623: Development of a Multi-Agent System for Cardiovascular Diagnostic
+  2025 | Unknown
+  https://doi.org/10.1161/circ.152.suppl_3.4364623
+
+netmas-efficient-network-2025
+  NetMAS: Efficient Network Configuration Translation with Multi-Agent System
+  2025 | Unknown
+  https://doi.org/10.1109/IWQoS65803.2025.11143253
+
+resilient-formation-control-2025
+  Resilient formation control in multi-agent systems considering leader failure
+  2025 | Unknown
+  https://doi.org/10.1080/18824889.2025.2510766
+
+optimized-leaderfollower-formation-2025
+  Optimized Leader‐Follower Formation Fault‐Tolerant Control Using Reinforcement Learning for a Class of Nonlinear Multi‐Agent Systems Having Actuator Failure
+  2025 | Unknown
+  https://doi.org/10.1002/acs.4045
+
+robust-replanning-multiagent-2025
+  Robust Replanning for Multi-Agent SmallSat Inspection in Failure Scenarios
+  2025 | Unknown
+  https://doi.org/10.2514/6.2025-0183
+
+adaptive-faulttolerant-control-2025
+  Adaptive Fault-Tolerant Control of Multi-Agent Systems Under Actuator Failure
+  2025 | Unknown
+  https://doi.org/10.1109/RCAE66389.2025.11355294
+
+multiagentbased-failure-modeling-2025
+  Multi-agent-based failure modeling for uncrewed swarm systems considering cross-layer diffusion characteristics
+  2025 | Unknown
+  https://doi.org/10.1016/j.ress.2025.110831
+
+semantic-communications-partially-2025
+  Semantic Communications for Partially Observable Multi-Agent Reinforcement Learning-Based Unmanned Aerial Vehicles Monitoring System
+  2025 | Unknown
+  https://doi.org/10.1109/ICC52391.2025.11161345
+
+comprehensive-survey-transplantmatch-2025
+  Comprehensive Survey on TransplantMatch Agent: A Multi-Agent ML System for Kidney and Liver Transplant Compatibility Prediction
+  2025 | Unknown
+  https://doi.org/10.1109/ICoICI65217.2025.11253079
+
+dynamic-charging-path-2025
+  Dynamic Charging and Path Planning for UAV-Powered Rechargeable WSNs Using Multi-Agent Deep Reinforcement Learning
+  2025 | Unknown
+  https://doi.org/10.1109/TASE.2025.3558945
+
+impact-charging-infrastructure-2025
+  Impact of charging infrastructure construction on electric vehicle diffusion based on a multi-agent model
+  2025 | Unknown
+  https://doi.org/10.1016/j.isci.2025.112257
+
+aidriven-traffic-flow-2025
+  AI‐Driven Traffic Flow Prediction and Anomaly Detection in Smart Cities: A Multi‐Agent Approach
+  2025 | Unknown
+  https://doi.org/10.1002/ett.70279
+
+architecture-design-multiagent-2025
+  Architecture Design of Multi-Agent LLM Systems in Railway Data Governance
+  2025 | Unknown
+  https://doi.org/10.1109/HPCC67675.2025.00184
+
+faulttolerant-timevarying-formation-2025
+  Fault‐Tolerant Time‐Varying Formation Tracking for Multi‐Agent Systems With Varying Number of Agents and Mixed Cyber Attacks
+  2025 | Unknown
+  https://doi.org/10.1002/rnc.8048
+
+framework-autonomous-crosscloud-2025
+  A Framework for Autonomous, Cross-Cloud Threat Mitigation Using Multi-Agent Reinforcement Learning
+  2025 | Unknown
+  https://doi.org/10.63412/kb44xf51
+
+fault-tolerant-multiagent-2025
+  Fault Tolerant Multi-Agent Learning with Adversarial Budget Constraints
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2508.08800
+
+evaluating-multiagent-ai-2025
+  Evaluating Multi-Agent AI Systems for Automated Bug Detection and Code Refactoring
+  2025 | Unknown
+  https://doi.org/10.22214/ijraset.2025.74423
+
+scaling-llm-inference-2025
+  Scaling LLM Inference Efficiently with Optimized Sample Compute Allocation
+  2025 | Unknown
+  https://doi.org/10.18653/v1/2025.naacl-long.404
+
+sfs-smarter-code-2025
+  SFS: Smarter Code Space Search improves LLM Inference Scaling
+  2025 | Unknown
+  https://www.semanticscholar.org/paper/72f5c9a58f5008b72af186df09df95e71c0eb983
+
+database-perspective-llm-2025
+  Database Perspective on LLM Inference Systems
+  2025 | Unknown
+  https://doi.org/10.14778/3750601.3750703
+
+aegaeon-effective-gpu-2025
+  Aegaeon: Effective GPU Pooling for Concurrent LLM Serving on the Market
+  2025 | Unknown
+  https://doi.org/10.1145/3731569.3764815
+
+future-aidriven-software-2025
+  The Future of AI-Driven Software Engineering
+  2025 | Unknown
+  https://doi.org/10.1145/3715003
+
+rise-ai-teammates-2025
+  The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2507.15003
+
+software-engineering-by-2025
+  Software Engineering by and for Humans in an AI Era
+  2025 | Unknown
+  https://doi.org/10.1145/3715111
+
+copiloting-future-how-2025
+  Copiloting the future: How generative AI transforms Software Engineering
+  2025 | Unknown
+  https://doi.org/10.1016/j.infsof.2025.107751
+
+democratizing-software-engineering-2025
+  Democratizing Software Engineering through Generative AI and Vibe Coding: The Evolution of No-Code Development
+  2025 | Unknown
+  https://doi.org/10.32996/jcsts.2025.7.4.66
+
+innovating-tomorrow-convergence-2025
+  Innovating for Tomorrow: The Convergence of Software Engineering and Green AI
+  2025 | Unknown
+  https://doi.org/10.1145/3712007
+
+generative-ai-future-2025
+  Generative AI and the Future of Software Engineering in Saudi Arabia: Governance, Innovation, and Workforce Transformation
+  2025 | Unknown
+  https://doi.org/10.65278/ijtaci.2025.4
+
+exploring-generative-ai-2025
+  Exploring Generative AI in Automated Software Engineering
+  2025 | Unknown
+  https://doi.org/10.1109/MS.2025.3533754
+
+generative-ai-software-2025-2
+  Generative AI in Software Engineering: Revolutionizing Code Generation and Debugging
+  2025 | Unknown
+  https://doi.org/10.22399/ijcesen.1718
+
+development-aidriven-model-2025
+  Development of an AI-Driven Model for Advancing Software Engineering Practices
+  2025 | Unknown
+  https://doi.org/10.55524/ijircst.2025.13.1.1
+
+unpacking-organizational-change-2025
+  Unpacking Organizational Change in AI Transformations of Software Engineering
+  2025 | Unknown
+  https://doi.org/10.1109/CHASE66643.2025.00026
+
+seamful-ai-creative-2025
+  Seamful AI for Creative Software Engineering: Use in Software Development Workflows
+  2025 | Unknown
+  https://doi.org/10.1109/MS.2025.3534085
+
+fairness-ai-systematic-2025
+  Towards Fairness in AI: A Systematic Mapping Study on Software Engineering Solutions
+  2025 | Unknown
+  https://doi.org/10.1109/SANER-C66551.2025.00014
+
+bridging-ai-robotics-2025
+  Bridging AI, Robotics, and Software Engineering: An Interdisciplinary Approach for Learning Emerging Technologies
+  2025 | Unknown
+  https://doi.org/10.1109/EDUCON62633.2025.11016335
+
+designing-fair-scalable-2025
+  Designing Fair and Scalable AI-Enhanced Software Engineering Performance Reviews
+  2025 | Unknown
+  https://doi.org/10.37082/ijirmps.v13.i2.232444
+
+humanmachine-teaming-team-2025
+  Human-Machine Teaming and Team Effectiveness in AI Tools for Software Engineering
+  2025 | Unknown
+  https://doi.org/10.1109/CHASE66643.2025.00017
+
+first-look-at-2025
+  A First Look at AI Trends in Value-Aligned Software Engineering Publications: Human-LLM Insights
+  2025 | Unknown
+  https://doi.org/10.1109/ICSE-SEIS66351.2025.00014
+
+integrating-ai-into-2025
+  Integrating AI into Software Engineering: A Critical Review and Future Directions
+  2025 | Unknown
+  https://doi.org/10.1109/IC363308.2025.10957449
+
+transforming-software-engineering-2025
+  Transforming Software Engineering Processes Through Generative AI: A Framework for Integration and Implementation
+  2025 | Unknown
+  https://doi.org/10.1109/MC.2025.3539347
+
+agile-software-engineering-2025
+  Agile Software Engineering in the Age of Artificial Intelligence: Tools and Techniques for AI Projects
+  2025 | Unknown
+  https://doi.org/10.1109/WorldSUAS66815.2025.11199145
+
+ai-agents-software-2025
+  AI Agents in Software Engineering Optimizing Software Development Processes and Enhancing Security Management in Learning Management Systems
+  2025 | Unknown
+  https://doi.org/10.22214/ijraset.2025.73299
+
+aiaugmented-software-engineering-2025
+  Towards AI-Augmented Software Engineering: A Theoretical Framework
+  2025 | Unknown
+  https://doi.org/10.62762/jse.2025.407864
+
+revolutionizing-code-role-2025
+  Revolutionizing Code: The Role of AI in Software Engineering
+  2025 | Unknown
+  https://doi.org/10.32628/ijsrset25121152
+
+trust-transparency-adoption-2025
+  Trust, transparency, and adoption in generative AI for software engineering: Insights from Twitter discourse
+  2025 | Unknown
+  https://doi.org/10.1016/j.infsof.2025.107804
+
+what-generative-ai-2025
+  What is Generative AI good for? Introduction to the special issue on Generative AI in software engineering
+  2025 | Unknown
+  https://doi.org/10.1016/j.infsof.2025.107857
+
+aiintegrated-software-engineering-2025
+  AI-Integrated Software Engineering: Developing Systems that Evolve with Learning Capabilities
+  2025 | Unknown
+  https://doi.org/10.52783/jisem.v10i63s.13893
+
+beyond-log-parsers-2025
+  Beyond Log Parsers: A Scalable AI-Driven Framework for Efficient Log Anomaly Detection in Software Engineering
+  2025 | Unknown
+  https://doi.org/10.1109/COMPSAC65507.2025.00173
+
+seamful-ai-creative-2025-2
+  Seamful AI for Creative Software Engineering
+  2025 | Unknown
+  https://doi.org/10.1109/ms.2025.3551876
+
+engineered-prompts-chatgpt-2025
+  Engineered Prompts in ChatGPT for Educational Assessment in Software Engineering and Computer Science
+  2025 | Unknown
+  https://doi.org/10.3390/educsci15020156
+
+systematic-literature-review-2025-3
+  A Systematic Literature Review on Explainability for ML/DL-based Software Engineering
+  2025 | Unknown
+  https://doi.org/10.1145/3763230
+
+evidencebased-software-engineering-2025
+  Evidence-Based Software Engineering Guidelines Revisited
+  2025 | Unknown
+  https://doi.org/10.1109/TSE.2025.3526730
+
+opportunities-challenges-software-2025
+  Opportunities and Challenges of Software Engineering Bots: A Forward-Looking Analysis
+  2025 | Unknown
+  https://doi.org/10.1109/BotSE67031.2025.00014
+
+laws-ethics-fairness-2025
+  Laws, Ethics, and Fairness in Software Engineering
+  2025 | Unknown
+  https://doi.org/10.1109/MS.2024.3469488
+
+designing-reusable-llmenhanced-2025
+  Designing Reusable LLM-Enhanced Assignments: A Quality-Oriented Framework for Software Engineering Education
+  2025 | Unknown
+  https://doi.org/10.1109/COMPSAC65507.2025.00310
+
+impact-artificial-intelligence-2025-2
+  Impact of Artificial Intelligence on Software Engineering Phases and Activities (2013–2024): A Quantitative Analysis Using Zero- Truncated Poisson Model
+  2025 | Unknown
+  https://doi.org/10.1109/ACCESS.2025.3574462
+
+supporting-brainstorming-activities-2025
+  Supporting Brainstorming Activities with Bots in Software Engineering Education
+  2025 | Unknown
+  https://doi.org/10.1109/BotSE67031.2025.00013
+
+evaluating-quality-genai-2025
+  Evaluating the quality of GenAI applications in software engineering: a multi-case study
+  2025 | Unknown
+  https://doi.org/10.1007/s10664-025-10759-2
+
+engineering-hyperpersonalization-software-2025
+  Engineering hyper-personalization: Software challenges and brand performance in AI-driven digital marketing management: An empirical study
+  2025 | Unknown
+  https://doi.org/10.30574/ijsra.2025.15.2.1525
+
+aidriven-requirements-engineering-2025
+  An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software
+  2025 | Unknown
+  https://doi.org/10.1109/CAIN66642.2025.00025
+
+survey-application-ai-2025
+  A Survey on Application of AI on Reverse Engineering for Software Analysis and Security
+  2025 | Unknown
+  https://doi.org/10.1109/ACCESS.2025.3593456
+
+secure-qa-aidriven-2025
+  Secure QA: AI-driven security testing and privacy-preserving frameworks in modern software quality engineering
+  2025 | Unknown
+  https://doi.org/10.30574/wjaets.2025.15.2.0531
+
+repofusionindecoder-efficient-crossfile-2025
+  RepoFusion-in-Decoder: Efficient Cross-File Code Completion via Lightweight Encoder Fusion
+  2025 | Unknown
+  https://doi.org/10.1109/AANN66429.2025.11257694
+
+comprehensive-study-code-2025
+  A Comprehensive Study on Code Completion for Large Language Models
+  2025 | Unknown
+  https://doi.org/10.1109/ICAACE65325.2025.11020128
+
+parsing-auditory-neural-2025
+  Parsing auditory neural code into maximum-entropy packets
+  2025 | Unknown
+  https://doi.org/10.1101/2025.11.09.687481
+
+enhancing-vulnerability-detection-2025
+  Enhancing Vulnerability Detection via Inter-procedural Semantic Completion
+  2025 | Unknown
+  https://doi.org/10.1145/3728912
+
+deeplearningbased-optimization-large-2025
+  Deep-learning-based optimization of large language models for code generation
+  2025 | Unknown
+  https://doi.org/10.1117/12.3071470
+
+automated-bug-detection-2025
+  Automated Bug Detection and Correction in Software Development using Machine Learning
+  2025 | Unknown
+  https://doi.org/10.65521/ijacte.v12i1.108
+
+policybased-input-space-2025
+  Policy-Based Input Space Exploration to Find Worst-Case Inputs in Machine-Learning Based ARINC653 Applications
+  2025 | Unknown
+  https://doi.org/10.1109/DASC66011.2025.11257228
+
+conco-optimizing-compilation-2025
+  ConCo: Optimizing Compilation of Concurrent Tensor Programs on Shared GPU
+  2025 | Unknown
+  https://doi.org/10.1145/3721145.3735113
+
+evaluating-language-models-2025
+  Evaluating Language Models for Computer Graphics Code Completion
+  2025 | Unknown
+  https://doi.org/10.1109/LLM4Code66737.2025.00017
+
+leveraging-llms-legacy-2025
+  Leveraging LLMs for Legacy Code Modernization: Evaluation of LLM-Generated Documentation
+  2025 | Unknown
+  https://doi.org/10.1109/LLM4Code66737.2025.00027
+
+quantifying-rag-advantage-2025
+  Quantifying the RAG Advantage: A Multi-Metric Benchmark for LLM-based Code Generation
+  2025 | Unknown
+  https://doi.org/10.5753/sbbd.2025.247760
+
+hallucination-consensus-multiagent-2025-2
+  Hallucination to Consensus: Multi-Agent LLMs for End-to-End Test Generation with Accurate Oracles
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2506.02943
+
+landscape-llmpowered-geoanalysis-2025
+  The Landscape of LLM-Powered Geoanalysis
+  2025 | Unknown
+  https://doi.org/10.1109/ACCESS.2025.3627398
+
+a2hcoder-llmdriven-coding-2025
+  A2HCoder: An LLM-Driven Coding Agent for Hierarchical Algorithm-to-HDL Translation
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2508.10904
+
+deepvulhunter-enhancing-code-2025
+  DeepVulHunter: enhancing the code vulnerability detection capability of LLMs through multi-round analysis
+  2025 | Unknown
+  https://doi.org/10.1007/s10844-025-00982-0
+
+novel-framework-educational-2025
+  A novel framework for educational Q&A: Leveraging RAG and Code Interpreters for knowledge retrieval and logical computation
+  2025 | Unknown
+  https://doi.org/10.1371/journal.pone.0337361
+
+openroad-agent-intelligent-2025
+  OpenROAD Agent: An Intelligent Self-Correcting Script Generator for OpenROAD
+  2025 | Unknown
+  https://doi.org/10.1109/ICLAD65226.2025.00039
+
+beyond-static-pattern-2025
+  Beyond Static Pattern Matching? Rethinking Automatic Cryptographic API Misuse Detection in the Era of LLMs
+  2025 | Unknown
+  https://doi.org/10.1145/3728875
+
+enhancing-interpretability-ocular-2025
+  Enhancing Interpretability of Ocular Disease Diagnosis: A Zero-Shot Study of Multimodal Large Language Models.
+  2025 | Unknown
+  https://doi.org/10.3233/SHTI250910
+
+funaudioasr-technical-report-2025
+  FunAudio-ASR Technical Report
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2509.12508
+
+large-language-models-2025-6
+  Large Language Models for Thematic Analysis in Healthcare Research: A Blinded Mixed-Methods Comparison with Human Analysts
+  2025 | Unknown
+  https://doi.org/10.64898/2025.12.25.25343031
+
+large-language-modelenhanced-2025
+  Large Language Model-Enhanced Test Case Generation*
+  2025 | Unknown
+  https://doi.org/10.1109/CBASE67452.2025.11335495
+
+survey-automated-data-2025
+  A Survey on Automated Data Analysis Techniques Powered by Large Language Models
+  2025 | Unknown
+  https://doi.org/10.1109/ICNC-FSKD67701.2025.11198129
+
+clearagent-agentic-binary-2025
+  ClearAgent: Agentic Binary Analysis for Effective Vulnerability Detection
+  2025 | Unknown
+  https://doi.org/10.1145/3759425.3763397
+
+llmdriven-code-refactoring-2025
+  LLM-Driven Code Refactoring: Opportunities and Limitations
+  2025 | Unknown
+  https://doi.org/10.1109/IDE66625.2025.00011
+
+retrieval-augmented-generation-2025-2
+  Retrieval Augmented Generation Fine-Tuned LLM Model for Code Recommendations to Mitigate Lock Contention
+  2025 | Unknown
+  https://doi.org/10.1145/3680256.3721324
+
+llmbased-code-generation-2025
+  LLM-Based Code Generation: A Systematic Literature Review With Technical and Demographic Insights
+  2025 | Unknown
+  https://doi.org/10.1109/ACCESS.2025.3631952
+
+framework-assess-clinical-2025
+  A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation
+  2025 | Unknown
+  https://doi.org/10.1038/s41746-025-01670-7
+
+largepig-hallucinationfree-query-2025
+  LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator
+  2025 | Unknown
+  https://doi.org/10.1145/3696410.3714800
+
+cracking-sql-barriers-2025
+  Cracking SQL Barriers: An LLM-based Dialect Translation System
+  2025 | Unknown
+  https://doi.org/10.1145/3725278
+
+how-llms-react-2025
+  How LLMs React to Industrial Spatio-Temporal Data? Assessing Hallucination with a Novel Traffic Incident Benchmark Dataset
+  2025 | Unknown
+  https://doi.org/10.18653/v1/2025.naacl-industry.4
+
+llmqe-improving-query-2025
+  LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences
+  2025 | Unknown
+  https://doi.org/10.48550/arXiv.2502.17057
+
+commcot-standardized-chainofthought-2025
+  Comm-CoT: Standardized Chain-of-Thought Communication Framework for Efficient LLM based Multi-Agent Decision-Making in Real-Time Strategy Games
+  2025 | Unknown
+  https://doi.org/10.1109/ECIS65594.2025.11087008
+
+d2dllm-unified-translation-2025
+  D2D-LLM+: Unified Translation Between Design Rules/Manuals and DRC - Bridging Inconsistencies for Accurate Implementation
+  2025 | Unknown
+  https://doi.org/10.1109/AICAS64808.2025.11173119
+
+catdb-datacatalogguided-llmbased-2025
+  CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines
+  2025 | Unknown
+  https://doi.org/10.14778/3742728.3742754
+
+together-we-better-2025
+  Together We are Better: LLM, IDE and Semantic Embedding to Assist Move Method Refactoring
+  2025 | Unknown
+  https://doi.org/10.1109/ICSME64153.2025.00046
+
+aes-cryptography-enabled-2025
+  AES Cryptography Enabled Responsible Federated Foundation Model Using Transformer LLM and LSTM for Smart Grid IIoT Networks
+  2025 | Unknown
+  https://doi.org/10.1109/JIOT.2025.3608807
+
+significant-productivity-gains-2024
+  Significant Productivity Gains through Programming with Large Language Models
+  2024 | Unknown
+  https://doi.org/10.1145/3661145
+
+building-early-warning-2024
+  Building an early warning system for LLM-aided biological threat creation
+  2024 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+virtual-lab-ai-2024
+  The Virtual Lab: AI Agents Design New SARS-CoV-2 Nanobodies with Experimental Validation
+  2024 | Unknown
+  https://doi.org/10.1101/2024.11.11.623004
+
+survey-llmbased-multiagent-2024
+  A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges
+  2024 | Unknown
+  https://doi.org/10.1007/s44336-024-00009-2
+
+model-context-protocol-2024
+  Model context protocol: Introduction
+  2024 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+more-llm-calls-2024
+  Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2403.02419
+
+analyzing-failure-trucks-2024
+  Analyzing the Failure of a Truck's Rear Axle Shaft Requires a Thorough Investigation to Pinpoint the Root Cause of the Issue
+  2024 | Unknown
+  https://doi.org/10.46610/joaaen.2024.v09i01.003
+
+llmbased-multiagent-systems-2024
+  LLM-Based Multi-Agent Systems for Software Engineering: Vision and the Road Ahead
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2404.04834
+
+survey-code-generation-2024
+  Survey on Code Generation for Low resource and Domain Specific Programming Languages
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2410.03981
+
+various-2024
+  Various
+  2024 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+lost-translation-study-2024
+  Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code
+  2024 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+incorrect-type-deducted-2024
+  . Incorrect type deducted for accumulator in reduce
+  2024 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+visualwebarena-evaluating-multimodal-2024
+  VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2401.13649
+
+exploring-effectiveness-llm-2024
+  Exploring the Effectiveness of LLM based Test-driven Interactive Code Generation: User Study and Empirical Evaluation
+  2024 | Unknown
+  https://doi.org/10.1145/3639478.3643525
+
+llmbased-interactive-code-2024
+  LLM-based Interactive Code Generation: Empirical Evaluation
+  2024 | Unknown
+  https://doi.org/10.1109/ISPRAS64596.2024.10899123
+
+llm-generative-ai-2024
+  LLM Generative AI and Students’ Exam Code Evaluation: Qualitative and Quantitative Analysis
+  2024 | Unknown
+  https://doi.org/10.1109/MIPRO60963.2024.10569820
+
+aligning-crowdsourced-human-2024
+  Aligning Crowd-sourced Human Feedback for Code Generation with Bayesian Inference
+  2024 | Unknown
+  https://doi.org/10.1109/CAI59869.2024.00037
+
+first-look-at-2024
+  A First Look at License Compliance Capability of LLMs in Code Generation
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2408.02487
+
+ansible-lightspeed-code-2024
+  Ansible Lightspeed: A Code Generation Service for IT Automation
+  2024 | Unknown
+  https://doi.org/10.1145/3691620.3695277
+
+llmdriven-testing-autonomous-2024
+  LLM-Driven Testing for Autonomous Driving Scenarios
+  2024 | Unknown
+  https://doi.org/10.1109/FLLM63129.2024.10852505
+
+whats-game-then-2024
+  What's the Game, then? Opportunities and Challenges for Runtime Behavior Generation
+  2024 | Unknown
+  https://doi.org/10.1145/3654777.3676358
+
+vgv-verilog-generation-2024
+  VGV: Verilog Generation using Visual Capabilities of Multi-Modal Large Language Models
+  2024 | Unknown
+  https://doi.org/10.1109/LAD62341.2024.10691753
+
+large-language-model-2024-3
+  Large language model evaluation for high‐performance computing software development
+  2024 | Unknown
+  https://doi.org/10.1002/cpe.8269
+
+only-diff-not-2024
+  Only diff Is Not Enough: Generating Commit Messages Leveraging Reasoning and Action of Large Language Model
+  2024 | Unknown
+  https://doi.org/10.1145/3643760
+
+hdleval-benchmarking-llms-2024
+  HDLEval Benchmarking LLMs for multiple HDLs
+  2024 | Unknown
+  https://doi.org/10.1109/LAD62341.2024.10691770
+
+comparison-large-language-2024
+  Comparison of Large Language Models in Generating Machine Learning Curricula in High Schools
+  2024 | Unknown
+  https://doi.org/10.3390/electronics13204109
+
+hardware-security-benchmarking-2024
+  Toward Hardware Security Benchmarking of LLMs
+  2024 | Unknown
+  https://doi.org/10.1109/LAD62341.2024.10691745
+
+evaluating-large-language-2024
+  Evaluating Large Language Models using Arabic Prompts to Generate Python Codes
+  2024 | Unknown
+  https://doi.org/10.1109/eSmarTA62850.2024.10638877
+
+spreadnala-naturalistic-code-2024
+  SpreadNaLa: A Naturalistic Code Generation Evaluation Dataset of Spreadsheet Formulas
+  2024 | Unknown
+  https://www.semanticscholar.org/paper/bbc81e8f4e1853a736d781a070244880956215e3
+
+clarifygpt-framework-enhancing-2024
+  ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification
+  2024 | Unknown
+  https://doi.org/10.1145/3660810
+
+llmbased-retrievalaugmented-control-2024
+  LLM-based and Retrieval-Augmented Control Code Generation
+  2024 | Unknown
+  https://doi.org/10.1145/3643795.3648384
+
+enhancing-system-security-2024
+  Enhancing System Security: LLM-Driven Defense Against Prompt Injection Vulnerabilities
+  2024 | Unknown
+  https://doi.org/10.1109/TCSET64720.2024.10755823
+
+exploring-clean-label-2024
+  Exploring Clean Label Backdoor Attacks and Defense in Language Models
+  2024 | Unknown
+  https://doi.org/10.1109/TASLP.2024.3407571
+
+textbased-prompt-injection-2024
+  Text-Based Prompt Injection Attack Using Mathematical Functions in Modern Large Language Models
+  2024 | Unknown
+  https://doi.org/10.3390/electronics13245008
+
+guardian-multitiered-defense-2024
+  GUARDIAN: A Multi-Tiered Defense Architecture for Thwarting Prompt Injection Attacks on LLMs
+  2024 | Unknown
+  https://doi.org/10.4236/jsea.2024.171003
+
+defense-strategy-selection-2024
+  Defense strategy selection based on incomplete information game for the false data injection attack
+  2024 | Unknown
+  https://doi.org/10.1080/00207721.2024.2363546
+
+defense-strategy-against-2024
+  A Defense Strategy Against False Data Injection Attack in Smart Grid Based on Multi-Stage Game*
+  2024 | Unknown
+  https://doi.org/10.1109/ICPRE62586.2024.10768530
+
+optimal-injection-attack-2024
+  Optimal Injection Attack Strategy for Nonlinear Cyber-Physical Systems Based on Iterative Learning
+  2024 | Unknown
+  https://doi.org/10.1109/TASE.2022.3232496
+
+timecma-llmempowered-time-2024
+  TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2406.01638
+
+avicuna-audiovisual-llm-2024
+  AVicuna: Audio-Visual LLM with Interleaver and Context-Boundary Alignment for Temporal Referential Dialogue
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2403.16276
+
+pedagogical-alignment-large-2024
+  Pedagogical Alignment of Large 
+Language Models (LLM) for 
+Personalized Learning: A Survey, 
+Trends and Challenges
+  2024 | Unknown
+  https://doi.org/10.4236/jilsa.2024.164023
+
+leveraging-large-language-2024
+  Leveraging Large Language Model for Automatic Patch Correctness Assessment
+  2024 | Unknown
+  https://doi.org/10.1109/TSE.2024.3452252
+
+repaircat-applying-large-2024
+  RepairCAT: Applying Large Language Model to Fix Bugs in AI-Generated Programs
+  2024 | Unknown
+  https://doi.org/10.1145/3643788.3648020
+
+poster-repairing-bugs-2024
+  Poster: Repairing Bugs with the Introduction of New Variables: A Multi-Agent Large Language Model
+  2024 | Unknown
+  https://doi.org/10.1145/3658644.3691412
+
+investigating-large-language-2024
+  Investigating large language models capabilities for automatic code repair in Python
+  2024 | Unknown
+  https://doi.org/10.1007/s10586-024-04490-8
+
+improving-patch-correctness-2024
+  Improving Patch Correctness Analysis via Random Testing and Large Language Models
+  2024 | Unknown
+  https://doi.org/10.1109/ICST60714.2024.00036
+
+pydex-repairing-bugs-2024
+  PyDex: Repairing Bugs in Introductory Python Assignments using LLMs
+  2024 | Unknown
+  https://doi.org/10.1145/3649850
+
+learning-effects-software-2024
+  Learning the Effects of Software Changes
+  2024 | Unknown
+  https://doi.org/10.1145/3650212.3685550
+
+exploring-potential-pretrained-2024
+  Exploring the Potential of Pre-Trained Language Models of Code for Automated Program Repair
+  2024 | Unknown
+  https://doi.org/10.3390/electronics13071200
+
+large-language-models-2024-2
+  Large Language Models Meet Automated Program Repair: Innovations, Challenges and Solutions
+  2024 | Unknown
+  https://doi.org/10.54254/2755-2721/2024.18303
+
+leveraging-large-language-2024-2
+  Leveraging Large Language Models for Automated Program Repair in Programming Education
+  2024 | Unknown
+  https://doi.org/10.1145/3703408
+
+minimal-edits-automated-2024
+  Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models
+  2024 | Unknown
+  https://doi.org/10.1007/978-3-031-72344-5_27
+
+exploring-experiences-automated-2024
+  Exploring Experiences with Automated Program Repair in Practice
+  2024 | Unknown
+  https://doi.org/10.1145/3597503.3639182
+
+llm-fault-localisation-2024
+  LLM Fault Localisation within Evolutionary Computation Based Automated Program Repair
+  2024 | Unknown
+  https://doi.org/10.1145/3638530.3664174
+
+automated-program-repair-2024-2
+  Automated Program Repair with the GPT Family, Including GPT-2, GPT-3 and CodeX
+  2024 | Unknown
+  https://doi.org/10.1145/3643788.3648021
+
+automated-program-repair-2024-3
+  Automated Program Repair for Introductory Programming Assignments
+  2024 | Unknown
+  https://doi.org/10.1109/TLT.2024.3403710
+
+benchmarking-automated-program-2024
+  Benchmarking Automated Program Repair: An Extensive Study on Both Real-World and Artificial Bugs
+  2024 | Unknown
+  https://doi.org/10.1145/3650212.3652140
+
+evolving-paradigms-automated-2024
+  Evolving Paradigms in Automated Program Repair: Taxonomy, Challenges, and Opportunities
+  2024 | Unknown
+  https://doi.org/10.1145/3696450
+
+searchbased-automated-program-2024-2
+  Search-Based Automated Program Repair: A Survey
+  2024 | Unknown
+  https://doi.org/10.1109/QRS-C63300.2024.00063
+
+evaluating-fault-localization-2024
+  Evaluating Fault Localization and Program Repair Capabilities of Existing Closed-Source General-Purpose LLMs
+  2024 | Unknown
+  https://doi.org/10.1145/3643795.3648390
+
+tales-from-trenches-2024
+  Tales From the Trenches: Expectations and Challenges From Practice for Code Review in the Generative AI Era
+  2024 | Unknown
+  https://doi.org/10.1109/MS.2024.3428439
+
+aipowered-code-review-2024-2
+  AI-Powered Code Review Assistant for Streamlining Pull Request Merging
+  2024 | Unknown
+  https://doi.org/10.1109/ICWITE59797.2024.10503540
+
+use-aidriven-code-2024
+  Use of AI-driven Code Generation Models in Teaching and Learning Programming: a Systematic Literature Review
+  2024 | Unknown
+  https://doi.org/10.1145/3626252.3630958
+
+systematic-literature-review-2024-2
+  A systematic literature review on the impact of AI models on the security of code generation
+  2024 | Unknown
+  https://doi.org/10.3389/fdata.2024.1386720
+
+comparative-review-ai-2024
+  A Comparative Review of AI Techniques for Automated Code Generation in Software Development: Advancements, Challenges, and Future Directions
+  2024 | Unknown
+  https://doi.org/10.18421/tem131-76
+
+code-beyond-review-2024
+  Code and Beyond: A Review on the Impact of AI on Modern Software Development
+  2024 | Unknown
+  https://doi.org/10.22555/pjets.v12i2.1210
+
+quantitative-analysis-quality-2024
+  A Quantitative Analysis of Quality and Consistency in AI-generated Code
+  2024 | Unknown
+  https://doi.org/10.1109/ICoSSE62619.2024.00014
+
+aiassisted-programming-tasks-2024
+  AI-Assisted Programming Tasks Using Code Embeddings and Transformers
+  2024 | Unknown
+  https://doi.org/10.3390/electronics13040767
+
+aipowered-code-reviews-2024
+  AI-Powered Code Reviews: Leveraging Large Language Models
+  2024 | Unknown
+  https://doi.org/10.1109/SPARC61891.2024.10829223
+
+integrating-generative-ai-2024
+  Integrating Generative AI into the Software Development Lifecycle: Impacts on Code Quality and Maintenance
+  2024 | Unknown
+  https://doi.org/10.30574/ijsra.2024.13.1.1837
+
+exploring-role-ai-2024
+  Exploring the Role of AI in Web Design and Development: A Voyage through Automated Code Generation
+  2024 | Unknown
+  https://doi.org/10.1109/IITCEE59897.2024.10467409
+
+exploring-synergy-between-2024
+  Exploring the synergy between generative AI and software engineering: Automating code optimization and bug fixing
+  2024 | Unknown
+  https://doi.org/10.30574/wjaets.2024.13.1.0464
+
+decade-progress-systematic-2024
+  A Decade of Progress: A Systematic Literature Review on the Integration of AI in Software Engineering Phases and Activities (2013-2023)
+  2024 | Unknown
+  https://doi.org/10.1109/ACCESS.2024.3488904
+
+state-art-security-2024
+  State of the Art of the Security of Code Generated by LLMs: A Systematic Literature Review
+  2024 | Unknown
+  https://doi.org/10.1109/CONISOFT63288.2024.00050
+
+review-advances-aipowered-2024
+  Review of Advances in AI-Powered Monitoring and Diagnostics for CI/CD Pipelines
+  2024 | Unknown
+  https://doi.org/10.54660/.ijmrge.2024.5.1.1119-1130
+
+systematic-literature-review-2024-2-2
+  Systematic Literature Review on Analyzing the Impact of Prompt Engineering on Efficiency, Code Quality, and Security in Crud Application Development
+  2024 | Unknown
+  https://doi.org/10.4038/jdrra.v2i1.57
+
+cracking-code-scoping-2024
+  Cracking the code: a scoping review to unite disciplines in tackling legal issues in health artificial intelligence
+  2024 | Unknown
+  https://doi.org/10.1136/bmjhci-2024-101112
+
+role-generative-ai-2024
+  The Role of Generative AI Tools in Application Development: A Comprehensive Review of Current Technologies and Practices
+  2024 | Unknown
+  https://doi.org/10.1109/EMCTECH63049.2024.10741797
+
+review-ai-assistant-2024
+  Review on AI Assistant Systems for Programming Language Learning in Learning Environments
+  2024 | Unknown
+  https://doi.org/10.1109/SLAAI-ICAI63667.2024.10844969
+
+how-generative-ai-2024
+  How Generative AI Is Transforming Journalism: Development, Application and Ethics
+  2024 | Unknown
+  https://doi.org/10.3390/journalmedia5020039
+
+enhancing-software-development-2024
+  Enhancing software development practices with AI insights in high-tech companies
+  2024 | Unknown
+  https://doi.org/10.51594/csitrj.v5i8.1450
+
+weaknesses-llmgenerated-code-2024
+  Weaknesses in LLM-Generated Code for Embedded Systems Networking
+  2024 | Unknown
+  https://doi.org/10.1109/QRS62785.2024.00033
+
+use-generative-ai-2024
+  The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation
+  2024 | Unknown
+  https://doi.org/10.2196/51187
+
+comparing-codefree-bespoke-2024
+  Comparing code-free and bespoke deep learning approaches in ophthalmology
+  2024 | Unknown
+  https://doi.org/10.1007/s00417-024-06432-x
+
+transforming-software-development-2024
+  Transforming Software Development: A Study on the Integration of Multi-Agent Systems and Large Language Models for Automatic Code Generation
+  2024 | Unknown
+  https://doi.org/10.1109/CONISOFT63288.2024.00013
+
+concordance-randomised-controlled-2024
+  Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines
+  2024 | Unknown
+  https://doi.org/10.1038/s41467-024-45355-3
+
+code-less-traveled-2024
+  The Code Less Traveled By
+  2024 | Unknown
+  https://doi.org/10.5840/adc20245324
+
+explainable-ai-software-2024
+  Explainable AI In Software Engineering: Enhancing Developer-AI Collaboration
+  2024 | Unknown
+  https://doi.org/10.37547/tajet/volume06issue07-11
+
+transforming-software-development-2024-2
+  Transforming Software Development Through Generative AI : A Systematic Analysis of Automated Development Practices
+  2024 | Unknown
+  https://doi.org/10.32628/cseit24106197
+
+generative-ai-software-2024
+  Generative Ai in Software Development : an Overview and Evaluation of Modern Coding Tools
+  2024 | Unknown
+  https://doi.org/10.36948/ijfmr.2024.v06i03.23271
+
+ai-software-engineering-2024
+  AI in Software Engineering at Google: Progress and the Path Ahead (Invited Talk)
+  2024 | Unknown
+  https://doi.org/10.1145/3664646.3676277
+
+determinants-chromatin-organization-2024
+  Determinants of Chromatin Organization in Aging and Cancer—Emerging Opportunities for Epigenetic Therapies and AI Technology
+  2024 | Unknown
+  https://doi.org/10.3390/genes15060710
+
+ai-pair-programming-2024
+  AI Pair Programming Acceptance: A Value-Based Approach with AHP Analysis
+  2024 | Unknown
+  https://doi.org/10.1109/CoDIT62066.2024.10708135
+
+intelligent-devops-leveraging-2024
+  Intelligent DevOps : Leveraging AI to Revolutionize Software Delivery
+  2024 | Unknown
+  https://doi.org/10.32628/cseit241061165
+
+exploring-potential-locally-2024
+  Exploring the Potential of Locally Run Large Language (AI) Models for Automated Grading in Introductory Computer Science Courses
+  2024 | Unknown
+  https://doi.org/10.1109/FIE61694.2024.10892816
+
+llmpowered-test-case-2024
+  LLM-Powered Test Case Generation for Detecting Tricky Bugs
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2404.10304
+
+llm4fin-fully-automating-2024
+  LLM4Fin: Fully Automating LLM-Powered Test Case Generation for FinTech Software Acceptance Testing
+  2024 | Unknown
+  https://doi.org/10.1145/3650212.3680388
+
+domain-knowledge-all-2024
+  Domain Knowledge is All You Need: A Field Deployment of LLM-Powered Test Case Generation in FinTech Domain
+  2024 | Unknown
+  https://doi.org/10.1145/3639478.3643087
+
+llm-tg-automated-2024
+  LLM - TG: Towards Automated Test Case Generation for Processors Using Large Language Models
+  2024 | Unknown
+  https://doi.org/10.1109/ICCD63220.2024.00066
+
+navigating-confidentiality-test-2024
+  Navigating Confidentiality in Test Automation: A Case Study in LLM Driven Test Data Generation
+  2024 | Unknown
+  https://doi.org/10.1109/SANER60148.2024.00041
+
+aipowered-multiagent-framework-2024
+  AI-Powered Multi-Agent Framework for Automated Unit Test Case Generation: Enhancing Software Quality through LLM’s
+  2024 | Unknown
+  https://doi.org/10.1109/GCAT62922.2024.10923987
+
+liredroid-llmenhanced-test-2024
+  LIReDroid: LLM-Enhanced Test Case Generation for Static Sensitive Behavior Replication
+  2024 | Unknown
+  https://doi.org/10.1145/3671016.3671404
+
+github-copilot-test-2024
+  Using GitHub Copilot for Test Generation in Python: An Empirical Study
+  2024 | Unknown
+  https://doi.org/10.1145/3644032.3644443
+
+llms-prompting-unit-2024
+  LLMs and Prompting for Unit Test Generation: A Large-Scale Evaluation
+  2024 | Unknown
+  https://doi.org/10.1145/3691620.3695330
+
+empirical-study-unit-2024
+  An Empirical Study of Unit Test Generation with Large Language Models
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2406.18181
+
+understandable-test-generation-2024
+  Understandable Test Generation Through Capture/Replay and LLMs
+  2024 | Unknown
+  https://doi.org/10.1145/3639478.3639789
+
+optimizing-searchbased-unit-2024
+  Optimizing Search-Based Unit Test Generation with Large Language Models: An Empirical Study
+  2024 | Unknown
+  https://doi.org/10.1145/3671016.3674813
+
+highquality-generation-approach-2024
+  A High-Quality Generation Approach for Educational Programming Projects Using LLM
+  2024 | Unknown
+  https://doi.org/10.1109/TLT.2024.3499751
+
+model-cascading-code-2024
+  Model Cascading for Code: Reducing Inference Costs with Model Cascading for LLM Based Code Generation
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2405.15842
+
+livebench-challenging-contaminationfree-2024
+  LiveBench: A Challenging, Contamination-Free LLM Benchmark
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2406.19314
+
+mercury-efficiency-benchmark-2024
+  Mercury: An Efficiency Benchmark for LLM Code Synthesis
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2402.07844
+
+iaceval-code-generation-2024
+  IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs
+  2024 | Unknown
+  https://doi.org/10.52202/079017-4273
+
+codemmlu-multitask-benchmark-2024-2
+  CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2410.01999
+
+verification-rmcsaragr-nuclear-2024
+  Verification of the RMC-SaraGR Nuclear Design Code System Based on the HTTR Benchmark
+  2024 | Unknown
+  https://doi.org/10.1115/icone31-135368
+
+developing-computerbased-tutor-2024
+  Developing a computer-based tutor utilizing Generative Artificial Intelligence (GAI) and Retrieval-Augmented Generation (RAG)
+  2024 | Unknown
+  https://doi.org/10.1007/s10639-024-13129-5
+
+augmenting-code-sequencing-2024
+  Augmenting Code Sequencing with Retrieval-Augmented Generation (RAG) for Context-Aware Code Synthesis
+  2024 | Unknown
+  https://doi.org/10.1109/SSITCON62437.2024.10796587
+
+timesensitve-retrievalaugmented-generation-2024
+  Time-Sensitve Retrieval-Augmented Generation for Question Answering
+  2024 | Unknown
+  https://doi.org/10.1145/3627673.3679800
+
+droidcoder-enhanced-android-2024
+  DroidCoder: Enhanced Android Code Completion with Context-Enriched Retrieval-Augmented Generation
+  2024 | Unknown
+  https://doi.org/10.1145/3691620.3695063
+
+localized-opensource-llm-2024
+  Localized Open-Source LLM Aware Retrieval Augmented Generation of Legal Documents: A Case Study on Indian Constitution and Penal Code
+  2024 | Unknown
+  https://doi.org/10.1109/BITCON63716.2024.10985396
+
+optimizing-microservice-deployment-2024
+  Optimizing Microservice Deployment in Edge Computing with Large Language Models: Integrating Retrieval Augmented Generation and Chain of Thought Techniques
+  2024 | Unknown
+  https://doi.org/10.3390/sym16111470
+
+enhancing-source-code-2024
+  Enhancing Source Code Comment Generation via Retrieval-Augmented Generation with Design Document Term Dictionary
+  2024 | Unknown
+  https://doi.org/10.1109/APSEC65559.2024.00061
+
+finetuning-retrieval-augmented-2024
+  Fine-Tuning and Retrieval Augmented Generation for Question Answering Using Affordable Large Language Models
+  2024 | Unknown
+  https://www.semanticscholar.org/paper/618c3c383b0042c7239db09da0dd53a471a6b14e
+
+integrating-retrievalaugmented-generation-2024
+  Integrating Retrieval-Augmented Generation for Enhanced Code Reuse: A Comprehensive Framework for Efficient Software Development
+  2024 | Unknown
+  https://doi.org/10.1109/SWC62898.2024.00205
+
+enhancing-gpt35s-proficiency-2024
+  Enhancing GPT-3.5's Proficiency in Netlogo Through Few-Shot Prompting and Retrieval-Augmented Generation
+  2024 | Unknown
+  https://doi.org/10.1109/WSC63780.2024.10838967
+
+retrieval-augmented-generation-2024-2
+  Retrieval Augmented Generation in Large Language Models: Development of AI Chatbot for Student Support
+  2024 | Unknown
+  https://www.semanticscholar.org/paper/addeb94f6618041809684b5e775f49268e00cd85
+
+rar-retrievalaugmented-retrieval-2024
+  RAR: Retrieval-augmented retrieval for code generation in low resource languages
+  2024 | Unknown
+  https://doi.org/10.18653/v1/2024.emnlp-main.1199
+
+arks-active-retrieval-2024
+  ARKS: Active Retrieval in Knowledge Soup for Code Generation
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2402.12317
+
+enhancing-code-generation-2024
+  Enhancing Code Generation Through Retrieval of Cross-Lingual Semantic Graphs
+  2024 | Unknown
+  https://doi.org/10.1109/APSEC65559.2024.00026
+
+generative-retrievalaugmented-ontologic-2024
+  Generative Retrieval-Augmented Ontologic Graph and Multiagent Strategies for Interpretive Large Language Model-Based Materials Design
+  2024 | Unknown
+  https://doi.org/10.1021/acsengineeringau.3c00058
+
+graphcoder-enhancing-repositorylevel-2024-2
+  GraphCoder: Enhancing Repository-Level Code Completion via Coarse-to-fine Retrieval Based on Code Context Graph
+  2024 | Unknown
+  https://doi.org/10.1145/3691620.3695054
+
+singrag-translationaugmented-framework-2024
+  SingRAG: A Translation-Augmented Framework for Code-Mixed Singlish Processing
+  2024 | Unknown
+  https://doi.org/10.1109/ICITR64794.2024.10857714
+
+csfir-leveraging-codespecific-2024
+  CSFIR: Leveraging Code-Specific Features to Augment Information Retrieval in Low-Resource Code Datasets
+  2024 | Unknown
+  https://doi.org/10.1109/SMC54092.2024.10831541
+
+repomincoder-improving-repositorylevel-2024
+  RepoMinCoder: Improving Repository-Level Code Generation Based on Information Loss Screening
+  2024 | Unknown
+  https://doi.org/10.1145/3671016.3674819
+
+effective-approach-reducing-2024
+  An effective approach for reducing data redundancy in multi-agent system communication
+  2024 | Unknown
+  https://doi.org/10.3233/MGS-230089
+
+enhancing-multiagent-system-2024
+  Enhancing Multi-agent System Testing with Diversity-Guided Exploration and Adaptive Critical State Exploitation
+  2024 | Unknown
+  https://doi.org/10.1145/3650212.3680376
+
+adaptive-output-consensus-2024
+  Adaptive output consensus of heterogeneous nonlinear multi‐agent system under random link failures with partially unknown transition rates
+  2024 | Unknown
+  https://doi.org/10.1002/rnc.7367
+
+multiagent-system-approach-2024
+  A Multi-Agent System Approach for Mitigating Partial Display Failures
+  2024 | Unknown
+  https://doi.org/10.1145/3603287.3651189
+
+datadriven-adaptive-distributed-2024
+  Data-Driven Adaptive Distributed Localization of Multi-Agent Systems With Sensor Failure
+  2024 | Unknown
+  https://doi.org/10.1109/TIE.2023.3342272
+
+exploring-education-as-2024
+  Exploring Education as a Complex System: Computational Educational Research with Multi-Level Agent-Based Modeling
+  2024 | Unknown
+  https://doi.org/10.3390/educsci14050551
+
+neural-networkbased-hierarchical-2024
+  Neural Network-Based Hierarchical Fault-Tolerant Affine Formation Control for Heterogeneous Nonlinear Multi-Agent Systems
+  2024 | Unknown
+  https://doi.org/10.1109/TITS.2023.3322689
+
+metmapf-metamorphic-testing-2024
+  MET-MAPF: A Metamorphic Testing Approach for Multi-Agent Path Finding Algorithms
+  2024 | Unknown
+  https://doi.org/10.1145/3669663
+
+sqlfixagent-semanticaccurate-sql-2024
+  SQLFixAgent: Towards Semantic-Accurate SQL Generation via Multi-Agent Collaboration
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2406.13408
+
+faulttolerant-timevarying-formation-2024
+  Fault-Tolerant Time-Varying Formation Trajectory Tracking Control for Multi-Agent Systems with Time Delays and Semi-Markov Switching Topologies
+  2024 | Unknown
+  https://doi.org/10.3390/drones8120778
+
+intelligent-elevator-control-2024
+  Intelligent Elevator Control Using Decentralized Multi-Agent Systems
+  2024 | Unknown
+  https://doi.org/10.52783/jes.6482
+
+observerbased-resilient-consensus-2024
+  Observer-based Resilient Consensus for Multi-agent Systems Modeled by PDEs under DoS Attacks
+  2024 | Unknown
+  https://doi.org/10.1109/ICICIP60808.2024.10477848
+
+multi-robot-cooperative-2024
+  Multi Robot Cooperative Control Based on Edge Computing and Multi Agent Reinforcement Learning with Cooperative Planning
+  2024 | Unknown
+  https://doi.org/10.1109/ICIICS63763.2024.10859967
+
+contested-communication-c2-2024
+  Contested Communication in C2 Multi-agent Simulations
+  2024 | Unknown
+  https://doi.org/10.1145/3615979.3656057
+
+sloaware-gpu-frequency-2024
+  SLO-aware GPU Frequency Scaling for Energy Efficient LLM Inference Serving
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2408.05235
+
+mecla-memorycomputeefficient-llm-2024
+  MECLA: Memory-Compute-Efficient LLM Accelerator with Scaling Sub-matrix Partition
+  2024 | Unknown
+  https://doi.org/10.1109/ISCA59077.2024.00079
+
+sprout-green-generative-2024
+  Sprout: Green Generative AI with Carbon-Efficient LLM Inference
+  2024 | Unknown
+  https://doi.org/10.18653/v1/2024.emnlp-main.1215
+
+sloaware-gpu-dvfs-2024
+  SLO-Aware GPU DVFS for Energy-Efficient LLM Inference Serving
+  2024 | Unknown
+  https://doi.org/10.1109/LCA.2024.3406038
+
+focusllm-scaling-llms-2024
+  FocusLLM: Scaling LLM's Context by Parallel Decoding
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2408.11745
+
+llmcloud-complete-leveraging-2024
+  LLM-Cloud Complete: Leveraging Cloud Computing for Efficient Large Language Model-based Code Completion
+  2024 | Unknown
+  https://doi.org/10.60087/jaigs.v5i1.200
+
+navigating-ai-frontier-2024
+  Navigating the AI Frontier: A Comprehensive Framework for Career Transition into AI Software Engineering
+  2024 | Unknown
+  https://doi.org/10.22214/ijraset.2024.64188
+
+software-engineering-education-2024
+  Software engineering education in the era of conversational AI: current trends and future directions
+  2024 | Unknown
+  https://doi.org/10.3389/frai.2024.1436350
+
+navigating-complexity-generative-2024
+  Navigating the Complexity of Generative AI Adoption in Software Engineering—RCR Report
+  2024 | Unknown
+  https://doi.org/10.1145/3680471
+
+what-aiembracing-software-2024
+  What an AI-Embracing Software Engineering Curriculum Should Look Like: An Empirical Study
+  2024 | Unknown
+  https://doi.org/10.1109/MS.2023.3344682
+
+bringing-software-engineering-2024
+  Bringing Software Engineering Discipline to the Development of AI-Enabled Systems
+  2024 | Unknown
+  https://doi.org/10.1109/MS.2024.3408388
+
+use-ai-software-2024
+  The Use of AI in Software Engineering: A Synthetic Knowledge Synthesis of the Recent Research Literature
+  2024 | Unknown
+  https://doi.org/10.3390/info15060354
+
+workshop-generative-neurosymbolic-2024
+  Workshop Generative and Neurosymbolic AI in Software Engineering (GenSE'2024)
+  2024 | Unknown
+  https://doi.org/10.18420/sw2024_58
+
+advancements-software-engineering-2024
+  Advancements in software engineering using AI
+  2024 | Unknown
+  https://doi.org/10.24294/csma.v6i1.3906
+
+generative-ai-software-2024-2
+  Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto
+  2024 | Unknown
+  https://doi.org/10.1016/j.jss.2024.112115
+
+enhancing-software-engineering-2024
+  Enhancing Software Engineering Education through AI: An Empirical Study of Tree-Based Machine Learning for Defect Prediction
+  2024 | Unknown
+  https://doi.org/10.1145/3686852.3686881
+
+from-triumph-uncertainty-2024
+  From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era
+  2024 | Unknown
+  https://doi.org/10.1145/3709360
+
+university-students-perception-2024
+  University Students' Perception and Expectations of Generative AI Tools for Software Engineering
+  2024 | Unknown
+  https://doi.org/10.1109/CSEET62301.2024.10663035
+
+integrating-generative-ai-2024-2
+  Integrating Generative AI in Software Engineering Education: Practical Strategies
+  2024 | Unknown
+  https://doi.org/10.1109/ISET61814.2024.00019
+
+enhancing-software-engineering-2024-2
+  Enhancing Software Engineering with AI: Key Insights from ChatGPT
+  2024 | Unknown
+  https://doi.org/10.1109/DASA63652.2024.10836262
+
+generative-ai-create-2024
+  Using Generative AI to Create User Stories in the Software Engineering Classroom
+  2024 | Unknown
+  https://doi.org/10.1109/CSEET62301.2024.10662994
+
+integrating-ai-software-2024
+  Integrating AI in Software Engineering Teaching and Learning
+  2024 | Unknown
+  https://doi.org/10.1109/TALE62452.2024.10834374
+
+requirements-engineering-trustworthy-2024
+  Requirements Engineering for Trustworthy Human-AI Synergy in Software Engineering 2.0
+  2024 | Unknown
+  https://doi.org/10.1109/RE59067.2024.00011
+
+navigating-ai-frontier-2024-2
+  Navigating the AI Frontier: A Critical Literature Review on Integrating Artificial Intelligence into Software Engineering Education
+  2024 | Unknown
+  https://doi.org/10.1109/CSEET62301.2024.10663054
+
+continuous-software-engineering-2024
+  Continuous Software Engineering Practices in AI/ML Development Past the Narrow Lens of MLOps: Adoption Challenges
+  2024 | Unknown
+  https://doi.org/10.37190/e-inf240102
+
+questioning-questions-we-2024
+  Questioning the Questions We Ask About the Impact of AI on Software Engineering : MSR 2024 Keynote
+  2024 | Unknown
+  https://doi.org/10.1145/3643991.3644895
+
+workshop-report-generative-2024
+  Workshop Report on Generative AI-based Software Engineering
+  2024 | Unknown
+  https://doi.org/10.1145/3641399.3641437
+
+steve-jobs-pioneering-2024
+  Steve Jobs: Pioneering AI in Software Engineering
+  2024 | Unknown
+  https://doi.org/10.47392/irjaeh.2024.0116
+
+exploring-potential-use-2024
+  Exploring the Potential Use of Generative AI in Software Engineering Education
+  2024 | Unknown
+  https://doi.org/10.1109/AICT61888.2024.10740416
+
+aidriven-continuous-integration-2024
+  AI-Driven Continuous Integration and Continuous Deployment in Software Engineering
+  2024 | Unknown
+  https://doi.org/10.1109/ICDT61202.2024.10489475
+
+optimal-psychological-functioning-2024
+  Toward Optimal Psychological Functioning in AI-Driven Software Engineering Tasks: The Software Evaluation for Well-Being and Optimal Psychological Functioning in a Context-Aware Environment Assessment Framework
+  2024 | Unknown
+  https://doi.org/10.1109/MS.2024.3382364
+
+surfing-ai-wave-2024
+  Surfing the AI Wave in Software Engineering: Opportunities and Challenges
+  2024 | Unknown
+  https://doi.org/10.1145/3661167.3661271
+
+mapping-softwareengineering-industry-2024
+  Mapping Software-Engineering Industry AI Use to Software-Engineering Curriculum: Developing the AI-USE Framework
+  2024 | Unknown
+  https://doi.org/10.34190/icair.4.1.3034
+
+practical-application-ai-2024
+  Practical Application of AI and Large Language Models in Software Engineering Education
+  2024 | Unknown
+  https://doi.org/10.14569/ijacsa.2024.0150168
+
+aiaugmented-software-engineering-2024
+  AI‐Augmented Software Engineering: Revolutionizing or Challenging Software Quality and Testing?
+  2024 | Unknown
+  https://doi.org/10.1002/smr.2741
+
+incorporating-ai-teaching-2024
+  Incorporating AI in the Teaching of Requirements Tracing Within Software Engineering
+  2024 | Unknown
+  https://doi.org/10.1109/FIE61694.2024.10892858
+
+enhancing-software-engineering-2024-3
+  Enhancing software engineering practices with generative AI: A framework for automated code synthesis and refactoring
+  2024 | Unknown
+  https://doi.org/10.30574/wjaets.2024.13.1.0463
+
+virtualhr-aidriven-automation-2024
+  VIRTUALHR: AI-DRIVEN AUTOMATION FOR EFFICIENT AND UNBIASED CANDIDATE RECRUITMENT IN SOFTWARE ENGINEERING ROLES
+  2024 | Unknown
+  https://doi.org/10.56726/irjmets60905
+
+scoping-software-engineering-2024
+  Scoping Software Engineering for AI: The TSE Perspective
+  2024 | Unknown
+  https://doi.org/10.1109/tse.2024.3470368
+
+generative-ai-redefining-2024
+  Generative AI: Redefining the Future of Software Engineering
+  2024 | Unknown
+  https://doi.org/10.1109/ms.2024.3441889
+
+unlocking-aipowered-conversations-2024
+  Unlocking AI-Powered Conversations and Code Excellence: Exploring Prompt Patterns in Conversational AI and Software Engineering
+  2024 | Unknown
+  https://doi.org/10.56726/irjmets47950
+
+aidriven-software-engineering-2024
+  AI-Driven Software Engineering - The Role of Conceptual Modeling
+  2024 | Unknown
+  https://doi.org/10.18417/emisa.19.1
+
+future-software-engineering-2024-2
+  The Future of Software Engineering Education and Training in the Age of AI
+  2024 | Unknown
+  https://doi.org/10.1109/ms.2023.3345960
+
+analysing-role-generative-2024
+  Analysing the Role of Generative AI in Software Engineering - Results from an MLR
+  2024 | Unknown
+  https://doi.org/10.1007/978-3-031-71139-8_11
+
+software-engineering-education-2024-2
+  Software Engineering Education Must Adapt and Evolve for an LLM Environment
+  2024 | Unknown
+  https://doi.org/10.1145/3626252.3630927
+
+trailer-acm-2030-2024
+  The Trailer of the ACM 2030 Roadmap for Software Engineering
+  2024 | Unknown
+  https://doi.org/10.1145/3696117.3696126
+
+artificial-intelligence-system-2024
+  Artificial Intelligence in System and Software Engineering for Auto Code Generation
+  2024 | Unknown
+  https://doi.org/10.1109/ICEECT61758.2024.10738945
+
+leveraging-open-source-2024
+  Leveraging Open Source LLMs for Software Engineering Education and Training
+  2024 | Unknown
+  https://doi.org/10.1109/CSEET62301.2024.10663055
+
+examining-utilization-artificial-2024
+  Examining the Utilization of Artificial Intelligence Tools by Students in Software Engineering Projects
+  2024 | Unknown
+  https://doi.org/10.5220/0012729400003693
+
+federated-learning-software-2024
+  Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction
+  2024 | Unknown
+  https://doi.org/10.1109/TSE.2023.3347898
+
+automatic-grading-short-2024
+  Automatic Grading of Short Answers Using Large Language Models in Software Engineering Courses
+  2024 | Unknown
+  https://doi.org/10.1109/EDUCON60312.2024.10578839
+
+quantum-software-engineering-2024
+  Quantum software engineering and quantum software development lifecycle: a survey
+  2024 | Unknown
+  https://doi.org/10.1007/s10586-024-04362-1
+
+from-natural-language-2024
+  From Natural Language to Web Applications: Using Large Language Models for Model-Driven Software Engineering
+  2024 | Unknown
+  https://doi.org/10.18420/modellierung2024_018
+
+systematic-literature-review-2024-3
+  Systematic Literature Review of Prompt Engineering Patterns in Software Engineering
+  2024 | Unknown
+  https://doi.org/10.1109/COMPSAC61105.2024.00096
+
+impact-chatgpt-teaching-2024
+  On the Impact of ChatGPT on Teaching and Studying Software Engineering
+  2024 | Unknown
+  https://doi.org/10.1109/EDUCON60312.2024.10578680
+
+generative-artificial-intelligence-2024
+  Generative Artificial Intelligence Use in Optimising Software Engineering Process: A Systematic Literature Review
+  2024 | Unknown
+  https://doi.org/10.2478/acss-2024-0009
+
+chatgpt-undergraduate-computer-2024
+  Using ChatGPT in Undergraduate Computer Science and Software Engineering Courses: A Students' Perspective
+  2024 | Unknown
+  https://doi.org/10.1109/FIE61694.2024.10892934
+
+improving-astlevel-code-2024
+  Improving AST-Level Code Completion with Graph Retrieval and Multi-Field Attention
+  2024 | Unknown
+  https://doi.org/10.1145/3643916.3644420
+
+combined-approach-program-2024
+  A Combined Approach of Program Analysis and Deep Learning for Code Completion
+  2024 | Unknown
+  https://doi.org/10.54691/hkyc3a89
+
+grammart5-grammarintegrated-pretrained-2024
+  GrammarT5: Grammar-Integrated Pretrained Encoder-Decoder Neural Model for Code
+  2024 | Unknown
+  https://doi.org/10.1145/3597503.3639125
+
+modelling-particle-flow-2024
+  Modelling of particle flow code geotechnical material parameter relationships based on orthogonal design and back propagation neural network
+  2024 | Unknown
+  https://doi.org/10.1007/s40571-024-00806-y
+
+alanca-active-learning-2024
+  ALANCA: Active Learning Guided Adversarial Attacks for Code Comprehension on Diverse Pre-trained and Large Language Models
+  2024 | Unknown
+  https://doi.org/10.1109/SANER60148.2024.00067
+
+comback-versatile-dataset-2024
+  ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency
+  2024 | Unknown
+  https://doi.org/10.52202/079017-3567
+
+jarvis-aienhanced-desktop-2024
+  Jarvis: AI-Enhanced Desktop Virtual Assistant
+  2024 | Unknown
+  https://doi.org/10.1109/ICAIQSA64000.2024.10882426
+
+aiaugmented-framework-enable-2024
+  AI-augmented Framework to Enable Process Awareness in Collaborative Teams
+  2024 | Unknown
+  https://doi.org/10.1109/IJCNN60899.2024.10650888
+
+high-performance-qnns-2024
+  Towards High Performance QNNs via Distribution-Based CNOT Gate Reduction
+  2024 | Unknown
+  https://doi.org/10.1145/3695872
+
+nonautoregressive-linelevel-code-2024
+  Non-Autoregressive Line-Level Code Completion
+  2024 | Unknown
+  https://doi.org/10.1145/3649594
+
+simplified-multiview-graph-2024
+  Simplified multi-view graph neural network for multilingual knowledge graph completion
+  2024 | Unknown
+  https://doi.org/10.1007/s11704-024-3577-3
+
+knowledge-graph-completion-2024
+  Knowledge graph completion assisted graph neural network for spectrum resource optimization of UAV swarm
+  2024 | Unknown
+  https://doi.org/10.1088/1742-6596/2717/1/012012
+
+3dantc-3d-channel-2024
+  3DA-NTC: 3D Channel Attention Aided Neural Tensor Completion for Crowdsensing Data Inference
+  2024 | Unknown
+  https://doi.org/10.1109/IJCNN60899.2024.10650963
+
+convntc-convolutional-neural-2024
+  ConvNTC: Convolutional neural tensor completion for predicting the disease-related miRNA pairs and cell-related drug pairs
+  2024 | Unknown
+  https://doi.org/10.1101/2024.10.21.619432
+
+shallowbkgc-bertenhanced-shallow-2024
+  ShallowBKGC: a BERT-enhanced shallow neural network model for knowledge graph completion
+  2024 | Unknown
+  https://doi.org/10.7717/peerj-cs.2058
+
+llmenhanced-learning-environments-2024
+  LLM-Enhanced Learning Environments for CS: Exploring Data Structures and Algorithms with Gurukul
+  2024 | Unknown
+  https://doi.org/10.1109/FIE61694.2024.10893211
+
+when-dataflow-analysis-2024
+  When Dataflow Analysis Meets Large Language Models
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2402.10754
+
+quantifying-uncertainty-llm-2024
+  Quantifying the uncertainty of LLM hallucination spreading in complex adaptive social networks
+  2024 | Unknown
+  https://doi.org/10.1038/s41598-024-66708-4
+
+llmdriven-framework-dynamic-2024
+  An LLM-driven Framework for Dynamic Infrastructure as Code Generation
+  2024 | Unknown
+  https://doi.org/10.1145/3704440.3704778
+
+zsllmcode-effective-approach-2024
+  zsLLMCode: An Effective Approach for Functional Code Embedding via LLM with Zero-Shot Learning
+  2024 | Unknown
+  https://doi.org/10.48550/arXiv.2409.14644
+
+experimental-evidence-productivity-2023
+  Experimental evidence on the productivity effects of generative artificial intelligence
+  2023 | Unknown
+  https://doi.org/10.1126/science.adh2586
+
+ai-assistance-legal-2023
+  AI Assistance in Legal Analysis: An Empirical Study
+  2023 | Unknown
+  https://doi.org/10.2139/ssrn.4539836
+
+autogen-enabling-nextgen-2023
+  AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
+  2023 | Unknown
+  https://www.semanticscholar.org/paper/1a4c6856292b8c64d19a812a77f0aa6fd47cb96c
+
+2023
+  TOWARDS A
+  2023 | Unknown
+  https://www.semanticscholar.org/paper/5c18d988a9f56d42a59e684c56af7dc1ada35659
+
+multiple-scalable-polyglot-2023
+  MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation
+  2023 | Unknown
+  https://doi.org/10.1109/TSE.2023.3267446
+
+leveraging-rust-types-2023
+  Leveraging Rust Types for Program Synthesis
+  2023 | Unknown
+  https://doi.org/10.1145/3591278
+
+monitorguided-decoding-code-2023
+  Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
+  2023 | Unknown
+  https://www.semanticscholar.org/paper/9b405bcf0c10a220e848eed43573ffc3477e13b8
+
+comprehensive-study-posttraining-2023
+  A Comprehensive Study on Post-Training Quantization for Large Language Models
+  2023 | Unknown
+  https://doi.org/10.48550/arXiv.2303.08302
+
+bias-assessment-mitigation-2023
+  Bias Assessment and Mitigation in LLM-based Code Generation
+  2023 | Unknown
+  https://doi.org/10.48550/arXiv.2309.14345
+
+review-code-generation-2023
+  A Review on Code Generation with LLMs: Application and Evaluation
+  2023 | Unknown
+  https://doi.org/10.1109/MedAI59581.2023.00044
+
+not-all-metrics-2023
+  Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing
+  2023 | Unknown
+  https://doi.org/10.48550/arXiv.2305.15067
+
+code-centric-evaluation-2023
+  A Code Centric Evaluation of C/C++ Vulnerability Datasets for Deep Learning Based Vulnerability Detection Techniques
+  2023 | Unknown
+  https://doi.org/10.1145/3578527.3578530
+
+codamosa-escaping-coverage-2023
+  CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models
+  2023 | Unknown
+  https://doi.org/10.1109/ICSE48619.2023.00085
+
+understanding-large-language-2023
+  Understanding Large Language Model Based Fuzz Driver Generation
+  2023 | Unknown
+  https://doi.org/10.48550/arXiv.2307.12469
+
+leveraging-large-language-2023
+  Leveraging large language models for data analysis automation
+  2023 | Unknown
+  https://doi.org/10.1101/2023.12.11.571140
+
+bilevel-attackdefense-model-2023
+  A Bi-Level Attack-Defense Model for the Forecasting False Data Injection Attacks on the Integrated Energy Systems
+  2023 | Unknown
+  https://doi.org/10.1109/ICEE59167.2023.10334687
+
+novel-detection-defense-2023
+  A novel detection and defense mechanism against false data injection attack in smart grids
+  2023 | Unknown
+  https://doi.org/10.1049/gtd2.12848
+
+automated-program-improvement-2023
+  Automated program improvement with reinforcement learning and graph neural networks
+  2023 | Unknown
+  https://doi.org/10.1007/s00500-023-08559-1
+
+evaluation-effectiveness-openais-2023
+  An Evaluation of the Effectiveness of OpenAI's ChatGPT for Automated Python Program Bug Fixing using QuixBugs
+  2023 | Unknown
+  https://doi.org/10.1109/iSemantic59612.2023.10295323
+
+large-language-models-2023
+  Using Large Language Models for Bug Localization and Fixing
+  2023 | Unknown
+  https://doi.org/10.1109/iCAST57874.2023.10359304
+
+can-chatgpt-fix-2023
+  Can ChatGPT Fix My Code?
+  2023 | Unknown
+  https://doi.org/10.5220/0012120800003538
+
+automatic-refactoring-conditions-2023
+  Automatic refactoring of conditions and substitutions for B state transition models
+  2023 | Unknown
+  https://doi.org/10.1002/spe.3255
+
+empirical-study-finetuning-2023
+  An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair
+  2023 | Unknown
+  https://doi.org/10.1109/ASE56229.2023.00181
+
+large-language-models-2023-2
+  Large Language Models for Automated Program Repair
+  2023 | Unknown
+  https://doi.org/10.1145/3618305.3623587
+
+extensive-study-model-2023
+  An Extensive Study on Model Architecture and Program Representation in the Domain of Learning-based Automated Program Repair
+  2023 | Unknown
+  https://doi.org/10.1109/APR59189.2023.00013
+
+automated-program-repair-2023-2
+  Automated Program Repair Based on Code Review: How do Pre-trained Transformer Models Perform?
+  2023 | Unknown
+  https://doi.org/10.48550/arXiv.2304.07840
+
+automated-program-repair-2023-3
+  Automated Program Repair Using Generative Models for Code Infilling
+  2023 | Unknown
+  https://www.semanticscholar.org/paper/6584c335547028f0a831b2bacfd615813b83d50d
+
+enhancing-code-language-2023
+  Enhancing Code Language Models for Program Repair by Curricular Fine-tuning Framework
+  2023 | Unknown
+  https://doi.org/10.1109/ICSME58846.2023.00024
+
+aipowered-code-review-2023
+  AI-Powered Code Review Enhancing Software Quality with Intelligent Agents
+  2023 | Unknown
+  https://doi.org/10.70528/ijlrp.v4.i3.1541
+
+enhancing-software-quality-2023
+  Enhancing Software Quality through AI - Assisted Code Review: Insights from AWS Cloud Infrastructure Development
+  2023 | Unknown
+  https://doi.org/10.21275/sr24716230727
+
+exploring-role-large-2023
+  Exploring the Role of Large Language Models in Automated Code Review and Software Quality Enhancement
+  2023 | Unknown
+  https://doi.org/10.15680/ijirset.2023.1209004
+
+role-genai-automated-2023
+  Role of GenAI in Automated Code Generation within DevOps Practices: Explore how Generative AI
+  2023 | Unknown
+  https://doi.org/10.60087/jklst.vol2.n2.p512
+
+embodied-ai-education-2023
+  Embodied AI in education: A review on the body, environment, and mind
+  2023 | Unknown
+  https://doi.org/10.1007/s10639-023-12346-8
+
+chatgpt-utility-healthcare-2023
+  ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns
+  2023 | Unknown
+  https://doi.org/10.3390/healthcare11060887
+
+aipowered-peer-review-2023
+  AI-powered peer review process
+  2023 | Unknown
+  https://doi.org/10.14742/apubs.2023.482
+
+cocreating-automated-mhealth-2023
+  Cocreating an Automated mHealth Apps Systematic Review Process With Generative AI: Design Science Research Approach
+  2023 | Unknown
+  https://doi.org/10.2196/48949
+
+systematic-review-infrastructure-2023
+  Systematic Review of Infrastructure as Code (IaC) and GitOps for Cloud Automation and Governance
+  2023 | Unknown
+  https://doi.org/10.54660/.ijmrge.2023.3.2.664-670
+
+we-need-talk-2023
+  “We Need To Talk About ChatGPT”: The Future of AI and Higher Education
+  2023 | Unknown
+  https://doi.org/10.1109/SEENG59157.2023.00010
+
+it-takes-two-2023
+  It takes two to code: a comparative analysis of collective bargaining and artificial intelligence
+  2023 | Unknown
+  https://doi.org/10.1177/10242589231156515
+
+low-code-smart-2023
+  Low Code for Smart Software Development
+  2023 | Unknown
+  https://doi.org/10.1109/MS.2022.3211352
+
+best-practices-ai-2023
+  Best Practices for Using AI Tools as an Author, Peer Reviewer, or Editor
+  2023 | Unknown
+  https://doi.org/10.2196/51584
+
+building-trustworthy-ai-2023
+  Building Trustworthy AI Solutions: A Case for Practical Solutions for Small Businesses
+  2023 | Unknown
+  https://doi.org/10.1109/TAI.2021.3137091
+
+leveraging-generative-ai-2023
+  Leveraging Generative AI Tools to Support the Development of Digital Solutions in Health Care Research: Case Study
+  2023 | Unknown
+  https://doi.org/10.2196/52885
+
+initial-investigation-chatgpt-2023
+  An initial investigation of ChatGPT unit test generation capability
+  2023 | Unknown
+  https://doi.org/10.1145/3624032.3624035
+
+adaptive-test-generation-2023
+  Adaptive Test Generation Using a Large Language Model
+  2023 | Unknown
+  https://doi.org/10.48550/arXiv.2302.06527
+
+llmbased-code-generation-2023
+  LLM-Based Code Generation Method for Golang Compiler Testing
+  2023 | Unknown
+  https://doi.org/10.1145/3611643.3617850
+
+code-benchmark-httf-2023
+  Code Benchmark of the HTTF Pressurized Conduction Cooldown Test Using SAM
+  2023 | Unknown
+  https://doi.org/10.1080/00295639.2023.2186163
+
+how-build-ai-2023
+  How to Build an AI Tutor that Can Adapt to Any Course and Provide Accurate Answers Using Large Language Model and Retrieval-Augmented Generation
+  2023 | Unknown
+  https://doi.org/10.48550/arXiv.2311.17696
+
+retrievalaugmented-generation-elevate-2023
+  Using retrieval-augmented generation to elevate low-code developer skills
+  2023 | Unknown
+  https://doi.org/10.15407/jai2023.03.126
+
+syntaxaware-retrieval-augmented-2023
+  Syntax-Aware Retrieval Augmented Code Generation
+  2023 | Unknown
+  https://doi.org/10.18653/v1/2023.findings-emnlp.90
+
+ai-can-look-2023
+  AI Can Look Up StackOverflow too: Retrieval-Augmented Code Generation
+  2023 | Unknown
+  https://www.semanticscholar.org/paper/ff9545fb640071eadbfb40111318d7bc9c083e07
+
+solving-iot-cascading-2023
+  Solving the IoT Cascading Failure Dilemma Using a Semantic Multi-agent System
+  2023 | Unknown
+  https://www.semanticscholar.org/paper/b378d606403aa26bae73bd9b583a86b331374e42
+
+timevarying-topology-formation-2023
+  Time-Varying Topology Formation Reconfiguration Control of the Multi-Agent System Based on the Improved Hungarian Algorithm
+  2023 | Unknown
+  https://doi.org/10.3390/app132011581
+
+neural-networkbased-optimal-2023
+  Neural network–based optimal fault compensation control of the nonlinear multi-agent system and its application to UAVs formation flight
+  2023 | Unknown
+  https://doi.org/10.1177/09596518231162759
+
+experimental-evaluation-multiagent-2023
+  Experimental Evaluation of Multi-Agent System Collision-Free Coordination Using Ideal Fluid-Flow Models
+  2023 | Unknown
+  https://doi.org/10.48550/arXiv.2301.05833
+
+faulttolerant-control-multiagent-2023
+  Fault‐tolerant control of multi‐agent systems with input delay and sensor failure
+  2023 | Unknown
+  https://doi.org/10.1002/asjc.3157
+
+mtfiltersbased-eventtriggered-adaptive-2023
+  MT‐filters‐based event‐triggered adaptive prescribed performance tracking control of multi‐agent systems with unknown direction actuator failure
+  2023 | Unknown
+  https://doi.org/10.1002/rnc.6817
+
+visual-analysis-failure-2023
+  Visual analysis on failure mitigation in multi-agent systems
+  2023 | Unknown
+  https://doi.org/10.1109/MDM58254.2023.00059
+
+adaptive-neural-network-2023
+  Adaptive neural network control of non‐affine multi‐agent systems with actuator fault and input saturation
+  2023 | Unknown
+  https://doi.org/10.1002/rnc.7161
+
+interval-typeii-fuzzy-2023
+  Interval Type-II Fuzzy Fault-Tolerant Control for Constrained Uncertain 2-DOF Robotic Multi-Agent Systems with Active Fault Detection
+  2023 | Unknown
+  https://doi.org/10.3390/s23104836
+
+adaptive-selftriggered-control-2023
+  Adaptive Self-Triggered Control for Multi-Agent Systems with Actuator Failures and Time-Varying State Constraints
+  2023 | Unknown
+  https://doi.org/10.3390/act12090364
+
+forwardlooking-backwardlooking-responsibility-2023
+  Forward-Looking and Backward-Looking Responsibility Attribution in Multi-Agent Sequential Decision Making
+  2023 | Unknown
+  https://doi.org/10.5555/3545946.3599135
+
+leaderfollowing-mean-square-2023
+  Leader-Following Mean Square Scaled Bipartite Consensus for Second-Order Multi-Agent Systems with Communication Noise and Antagonistic Information
+  2023 | Unknown
+  https://doi.org/10.23919/CCC58697.2023.10239982
+
+resilient-multiagent-collaborative-2023
+  Resilient Multi-Agent Collaborative Spacecraft Inspection
+  2023 | Unknown
+  https://doi.org/10.1109/AERO55745.2023.10115886
+
+supply-chain-network-2023
+  Supply Chain Network Model using Multi-Agent Reinforcement Learning for COVID-19
+  2023 | Unknown
+  https://doi.org/10.14569/ijacsa.2023.0140208
+
+survey-reliability-engineering-2023
+  Survey on Reliability Engineering for AI Software Systems: An Extension Based on the IEEE 1633 Standard
+  2023 | Unknown
+  https://doi.org/10.1109/AIIM60438.2023.10441228
+
+aidriven-software-engineering-2023
+  AI-driven software engineering
+  2023 | Unknown
+  https://doi.org/10.54254/2977-3903/3/2023030
+
+software-engineering-responsible-2023
+  Software Engineering for Responsible AI
+  2023 | Unknown
+  https://doi.org/10.1109/mc.2023.3242055
+
+software-engineering-as-2023
+  Software Engineering as the Linchpin of Responsible AI
+  2023 | Unknown
+  https://doi.org/10.1109/ICSE48619.2023.00012
+
+ethical-requirements-stack-2023
+  Ethical Requirements Stack: A framework for implementing ethical requirements of AI in software engineering practices
+  2023 | Unknown
+  https://doi.org/10.1145/3593434.3593489
+
+generative-ai-modeldriven-2023
+  Generative AI in Model-Driven Software Engineering Education: Friend or Foe?
+  2023 | Unknown
+  https://doi.org/10.1109/MODELS-C59198.2023.00034
+
+landscape-source-code-2023
+  The Landscape of Source Code Representation Learning in AI-Driven Software Engineering Tasks
+  2023 | Unknown
+  https://doi.org/10.1109/ICSE-Companion58688.2023.00098
+
+aiassisted-software-engineering-2023
+  AI-assisted Software Engineering: a tertiary study
+  2023 | Unknown
+  https://doi.org/10.1109/MECO58584.2023.10154972
+
+review-trending-crowdsourcing-2023
+  A Review of Trending Crowdsourcing Topics in Software Engineering Highlighting Mobile Crowdsourcing and AI Utilization
+  2023 | Unknown
+  https://doi.org/10.14569/ijacsa.2023.0140486
+
+aiaugmented-devops-paradigm-2023
+  Ai-Augmented DevOps: A paradigm shifts in scalable software engineering and IT operations
+  2023 | Unknown
+  https://doi.org/10.30574/wjaets.2023.10.2.0293
+
+ai-driven-strategies-2023
+  AI Driven Strategies for Efficient Project Tracking and Delivery in Software Engineering Management
+  2023 | Unknown
+  https://doi.org/10.69978/rebicte.v9i.202
+
+early-formalization-aitools-2023
+  Early Formalization of AI-tools Usage in Software Engineering in Europe: Study of 2023
+  2023 | Unknown
+  https://doi.org/10.5815/ijitcs.2023.06.03
+
+software-engineering-ai-2023
+  Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things - SEA4DQ'22 Report
+  2023 | Unknown
+  https://doi.org/10.1145/3573074.3573103
+
+study-aibased-techniques-2023
+  A study of AI-based techniques for requirement analysis in software engineering
+  2023 | Unknown
+  https://doi.org/10.1063/5.0178114
+
+ai-software-reliability-2023
+  AI Software Reliability: Concepts and Related Domains
+  2023 | Unknown
+  https://doi.org/10.1109/AIIIP61647.2023.00061
+
+do-not-give-2023
+  Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools
+  2023 | Unknown
+  https://doi.org/10.48550/arXiv.2309.07639
+
+multiplepath-learning-neural-2023
+  A Multiple-Path Learning Neural Network Model for Code Completion
+  2023 | Unknown
+  https://doi.org/10.1109/ICWS60048.2023.00042
+
+specializing-neural-networks-2023
+  Specializing Neural Networks for Cryptographic Code Completion Applications
+  2023 | Unknown
+  https://doi.org/10.1109/TSE.2023.3265362
+
+review-statistical-language-2023
+  A review on statistical language and neural network based code completion
+  2023 | Unknown
+  https://doi.org/10.54254/2755-2721/22/20231222
+
+empirical-investigation-performance-2023
+  An Empirical Investigation on the Performance of Domain Adaptation for T5 Code Completion
+  2023 | Unknown
+  https://doi.org/10.1109/SANER56733.2023.00073
+
+rwkvbased-encoderdecoder-model-2023
+  RWKV-based Encoder-Decoder Model for Code Completion
+  2023 | Unknown
+  https://doi.org/10.1109/EIECT60552.2023.10442108
+
+sann-programming-code-2023
+  SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction
+  2023 | Unknown
+  https://doi.org/10.1145/3583780.3615047
+
+infocd-contrastive-chamfer-2023
+  InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion
+  2023 | Unknown
+  https://www.semanticscholar.org/paper/4827262c9fb1ac41569af6f76944eb8db80ab05d
+
+pattern-completion-disruption-2023
+  Pattern completion and disruption characterize contextual modulation in mouse visual cortex
+  2023 | Unknown
+  https://doi.org/10.1101/2023.03.13.532473
+
+ddit-semantic-scene-2023
+  DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates
+  2023 | Unknown
+  https://doi.org/10.1109/ICCV51070.2023.02001
+
+probing-numeracy-logic-2023
+  Probing Numeracy and Logic of Language Models of Code
+  2023 | Unknown
+  https://doi.org/10.1109/InteNSE59150.2023.00006
+
+graph-generation-recurrent-2023
+  Graph Generation with Recurrent and Graph Neural Networks
+  2023 | Unknown
+  https://doi.org/10.1109/MedAI59581.2023.00033
+
+new-weighted-bert-2023
+  New weighted BERT features and multi-CNN models to enhance the performance of MOOC posts classification
+  2023 | Unknown
+  https://doi.org/10.1007/s00521-023-08673-z
+
+mitigating-llm-hallucination-2023
+  Towards Mitigating LLM Hallucination via Self Reflection
+  2023 | Unknown
+  https://doi.org/10.18653/v1/2023.findings-emnlp.123
+
+knowledge-injection-counter-2023
+  Knowledge Injection to Counter Large Language Model (LLM) Hallucination
+  2023 | Unknown
+  https://doi.org/10.1007/978-3-031-43458-7_34
+
+refining-sharp-left-2022
+  Refining the sharp left turn threat model, part 2: applying alignment techniques
+  2022 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+detecting-emergent-behavior-2022
+  Detecting emergent behavior
+  2022 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+future-ml-systems-2022
+  Future ml systems will be qualitatively different
+  2022 | Unknown
+  https://www.semanticscholar.org/paper/None
+
+github-2022
+  GitHub
+  2022 | Unknown
+  https://doi.org/10.1201/9781003229100-6
+
+typescript-2022
+  TypeScript
+  2022 | Unknown
+  https://doi.org/10.1201/9781003203728-1
+
+research-sql-injection-2022
+  Research on SQL Injection Attack and Defense Technology of Power Dispatching Data Network: Based on Data Mining
+  2022 | Unknown
+  https://doi.org/10.1155/2022/6207275
+
+detection-defense-mechanism-2022
+  The Detection and Defense Mechanism for SQL Injection Attack Based on Web Application
+  2022 | Unknown
+  https://doi.org/10.1109/ITAIC54216.2022.9836786
+
+adaptive-lqrbased-defense-2022
+  An Adaptive LQR-Based Defense Strategy against False Data Injection Attack in Smart Grids
+  2022 | Unknown
+  https://doi.org/10.1109/EI256261.2022.10117083
+
+defense-massive-false-2022
+  Defense of Massive False Data Injection Attack via Sparse Attack Points Considering Uncertain Topological Changes
+  2022 | Unknown
+  https://doi.org/10.35833/mpce.2020.000686
+
+bugtransformer-automated-program-2022
+  Bug-Transformer: Automated Program Repair Using Attention-Based Deep Neural Network
+  2022 | Unknown
+  https://doi.org/10.1142/s0218126622502103
+
+next-syntacticunit-code-2022
+  Next Syntactic-Unit Code Completion and Applications
+  2022 | Unknown
+  https://doi.org/10.1145/3551349.3559544
+
+improving-automatically-generated-2022
+  Improving automatically generated code from Codex via Automated Program Repair
+  2022 | Unknown
+  https://doi.org/10.48550/arXiv.2205.10583
+
+practical-program-repair-2022
+  Practical Program Repair in the Era of Large Pre-trained Language Models
+  2022 | Unknown
+  https://doi.org/10.48550/arXiv.2210.14179
+
+systematic-literature-review-2022
+  Systematic Literature Review on Solving Competitive Programming Problem with Artificial Intelligence (AI)
+  2022 | Unknown
+  https://doi.org/10.1109/ICoSEIT55604.2022.10029949
+
+research-formation-selfhealing-2022
+  Research on Formation Self-healing Method of Multi-agent System Based on Manta Ray Foraging Optimization Algorithm
+  2022 | Unknown
+  https://doi.org/10.1109/CAC57257.2022.10055355
+
+dmaidps-distributed-multiagent-2022
+  DMAIDPS: a distributed multi-agent intrusion detection and prevention system for cloud IoT environments
+  2022 | Unknown
+  https://doi.org/10.1007/s10586-022-03621-3
+
+cascade-failure-management-2022
+  Cascade Failure Management in Distributed Smart Grid Using Multi-Agent Control
+  2022 | Unknown
+  https://doi.org/10.1109/ICET56601.2022.10004671
+
+supply-chain-information-2022
+  Supply Chain Information Collaborative Simulation Model Integrating Multi-Agent and System Dynamics
+  2022 | Unknown
+  https://doi.org/10.7307/ptt.v34i5.4092
+
+robustness-cloud-manufacturing-2022
+  Robustness of Cloud Manufacturing System Based on Complex Network and Multi-Agent Simulation
+  2022 | Unknown
+  https://doi.org/10.3390/e25010045
+
+faulttolerant-consensus-control-2022
+  Fault-Tolerant Consensus Control for Nonlinear Multi-Agent Systems Based on PDE With Actuator Failure
+  2022 | Unknown
+  https://doi.org/10.1109/YAC57282.2022.10023576
+
+drinking-chai-your-2022
+  Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering 107-122
+  2022 | Unknown
+  https://www.semanticscholar.org/paper/bd47757c72178d4657b618cd55514b6e1c36dd42
+
+software-engineering-ai-2022
+  Software Engineering and AI for Data Quality in Cyber- Physical Systems - SEA4DQ'21 Workshop Report
+  2022 | Unknown
+  https://doi.org/10.1145/3502771.3502781
+
+sustainable-energy-solutions-2022
+  Sustainable energy solutions through AI and software engineering: Optimizing resource management in renewable energy systems
+  2022 | Unknown
+  https://doi.org/10.54660/.jaes.2022.2.1.26-37
+
+aiguided-modeldriven-embedded-2022
+  AI-guided Model-Driven Embedded Software Engineering
+  2022 | Unknown
+  https://doi.org/10.5220/0011006200003119
+
+some-aspects-software-2022
+  Some aspects of software engineering for AI-based systems
+  2022 | Unknown
+  https://doi.org/10.15407/pp2022.03-04.099
+
+review-new-challenges-2022
+  A Review on New Challenges in AI and Software Engineering
+  2022 | Unknown
+  https://doi.org/10.48175/ijarsct-7137
+
+trends-intelligent-aibased-2022
+  Trends in Intelligent and AI-Based Software Engineering Processes: A Deep Learning-Based Software Process Model Recommendation Method
+  2022 | Unknown
+  https://doi.org/10.1155/2022/1960684
+
+learning-prevent-profitless-2022
+  Learning to Prevent Profitless Neural Code Completion
+  2022 | Unknown
+  https://doi.org/10.48550/arXiv.2209.05948
+
+methodology-refined-evaluation-2022
+  A methodology for refined evaluation of neural code completion approaches
+  2022 | Unknown
+  https://doi.org/10.1007/s10618-022-00866-9
+
+how-robust-neural-2022
+  How Robust are Neural Code Completion Models to Source Code Transformation?
+  2022 | Unknown
+  https://www.semanticscholar.org/paper/f01e316d3b28ccecda25b4d57926f496a9b17d3d
+
+unified-multitask-learning-2022
+  A unified multi-task learning model for AST-level and token-level code completion
+  2022 | Unknown
+  https://doi.org/10.1007/s10664-022-10140-7
+
+framing-program-repair-2022
+  Framing Program Repair as Code Completion
+  2022 | Unknown
+  https://doi.org/10.1145/3524459.3527347
+
+improving-code-completion-2022
+  Improving Code Completion by Sequence Features and Structural Features
+  2022 | Unknown
+  https://doi.org/10.1145/3568364.3568373
+
+improved-methods-pointer-2022
+  Improved Methods of Pointer Mixture Network for Code Completion
+  2022 | Unknown
+  https://doi.org/10.1109/QRS57517.2022.00095
+
+novel-code-completion-2022
+  A Novel Code Completion Strategy
+  2022 | Unknown
+  https://doi.org/10.14569/ijacsa.2022.0130598
+
+poster-comparing-neural-2022
+  Poster: Comparing Neural Network Solutions in Cryptographic API Completion
+  2022 | Unknown
+  https://www.semanticscholar.org/paper/9e8a98aa7781f591281bba279d9fa3570a144892
+
+neural-language-models-2022
+  Neural language models for code quality identification
+  2022 | Unknown
+  https://doi.org/10.1145/3549034.3561175
+
+interpretable-linear-models-2022
+  Interpretable linear models for predicting security vulnerabilities in source code
+  2022 | Unknown
+  https://doi.org/10.1109/TransAI54797.2022.00032
+
+learning-represent-programs-2022
+  Learning to Represent Programs with Code Hierarchies
+  2022 | Unknown
+  https://doi.org/10.48550/arXiv.2205.15479
+
+ssa-data-flow-2022
+  SSA Data Flow Information for Semantic Code Tasks
+  2022 | Unknown
+  https://www.semanticscholar.org/paper/766a49ba271d8b07b23ca74c39313a5f908c0fff
+
+can-we-automatically-2022
+  Can We Automatically Fix Bugs by Learning Edit Operations?
+  2022 | Unknown
+  https://doi.org/10.1109/saner53432.2022.00096
+
+l-everaging-n-2022
+  L EVERAGING N EURAL L ANGUAGE M ODEL FOR A U - TOMATED C ODE Q UALITY I SSUE I DENTIFICATION
+  2022 | Unknown
+  https://www.semanticscholar.org/paper/62af36fa3202d998a895187b439d54ce4c2f0559
+
+lofi-sketch-large-2022
+  LoFi Sketch: A Large Scale Dataset of Smartphone Low Fidelity Sketches
+  2022 | Unknown
+  https://doi.org/10.1145/3491101.3519624
+
diff --git a/scripts/download-doi.py b/scripts/download-doi.py
@@ -0,0 +1,250 @@
+#!/usr/bin/env python3
+"""
+Download PDFs for registry entries that have DOIs but no arxiv_id.
+
+Strategy:
+1. Query Semantic Scholar for the paper's open access PDF URL
+2. If that fails, try Unpaywall API (free, no key needed)
+3. If that fails, try resolving the DOI and looking for PDF links
+
+Usage:
+    python scripts/download-doi.py              # Download all eligible
+    python scripts/download-doi.py --limit 10   # First 10 only
+    python scripts/download-doi.py --dry-run    # Show what would be downloaded
+    python scripts/download-doi.py --id SLUG    # Specific paper
+"""
+
+import json
+import sys
+import time
+import urllib.request
+import urllib.error
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parent.parent
+REGISTRY_PATH = ROOT / "registry.jsonl"
+PAPERS_DIR = ROOT / "papers"
+
+DELAY_SECONDS = 1  # Rate limit between API calls
+USER_AGENT = "ai-research-survey/1.0 (systematic review project; mailto:research@example.com)"
+
+
+def load_registry():
+    entries = []
+    with open(REGISTRY_PATH) as f:
+        for line in f:
+            line = line.strip()
+            if line:
+                entries.append(json.loads(line))
+    return entries
+
+
+def save_registry(entries):
+    with open(REGISTRY_PATH, "w") as f:
+        for entry in entries:
+            f.write(json.dumps(entry, ensure_ascii=False) + "\n")
+
+
+def api_get_json(url):
+    """GET a URL and parse JSON response."""
+    req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})
+    try:
+        with urllib.request.urlopen(req, timeout=30) as resp:
+            return json.loads(resp.read().decode())
+    except Exception:
+        return None
+
+
+def download_pdf(url, dest_path):
+    """Download a PDF from a URL. Returns True on success."""
+    try:
+        req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})
+        with urllib.request.urlopen(req, timeout=60) as resp:
+            content_type = resp.headers.get("Content-Type", "")
+            content = resp.read()
+            if len(content) < 1000:
+                return False
+            # Check it's actually a PDF
+            if not content[:5] == b"%PDF-" and "pdf" not in content_type.lower():
+                return False
+            dest_path.parent.mkdir(parents=True, exist_ok=True)
+            with open(dest_path, "wb") as f:
+                f.write(content)
+            size_mb = len(content) / (1024 * 1024)
+            print(f"    Downloaded {size_mb:.1f} MB")
+            return True
+    except Exception as e:
+        print(f"    Download failed: {e}")
+        return False
+
+
+def try_semantic_scholar(doi):
+    """Try to get PDF URL from Semantic Scholar."""
+    data = api_get_json(
+        f"https://api.semanticscholar.org/graph/v1/paper/DOI:{doi}?fields=openAccessPdf,externalIds"
+    )
+    if not data:
+        return None, None
+
+    # Check if S2 found an arXiv ID we missed
+    ext = data.get("externalIds", {})
+    arxiv_id = ext.get("ArXiv")
+
+    pdf_info = data.get("openAccessPdf")
+    if pdf_info and pdf_info.get("url"):
+        return pdf_info["url"], arxiv_id
+
+    return None, arxiv_id
+
+
+def try_unpaywall(doi):
+    """Try Unpaywall API for open access PDF."""
+    data = api_get_json(
+        f"https://api.unpaywall.org/v2/{doi}?email=research@example.com"
+    )
+    if not data:
+        return None
+
+    best = data.get("best_oa_location")
+    if best and best.get("url_for_pdf"):
+        return best["url_for_pdf"]
+
+    # Try other locations
+    for loc in data.get("oa_locations", []):
+        if loc.get("url_for_pdf"):
+            return loc["url_for_pdf"]
+
+    return None
+
+
+def try_arxiv_fallback(arxiv_id, dest_path):
+    """If S2 found an arXiv ID, download from arXiv."""
+    url = f"https://arxiv.org/pdf/{arxiv_id}.pdf"
+    return download_pdf(url, dest_path)
+
+
+def main():
+    args = sys.argv[1:]
+    dry_run = "--dry-run" in args
+    limit = None
+    specific_id = None
+
+    for i, arg in enumerate(args):
+        if arg == "--limit" and i + 1 < len(args):
+            limit = int(args[i + 1])
+        if arg == "--id" and i + 1 < len(args):
+            specific_id = args[i + 1]
+
+    entries = load_registry()
+
+    candidates = []
+    for entry in entries:
+        if specific_id and entry["id"] != specific_id:
+            continue
+        if entry.get("arxiv_id"):
+            continue  # Handled by download-arxiv.py
+        if entry["status"] != "queued" and not specific_id:
+            continue
+        if not entry.get("doi") and not entry.get("source_url"):
+            continue
+        pdf_path = PAPERS_DIR / entry["id"] / "paper.pdf"
+        if pdf_path.exists():
+            continue
+        candidates.append(entry)
+
+    if limit:
+        candidates = candidates[:limit]
+
+    if not candidates:
+        print("No papers to download.")
+        return
+
+    print(f"{'Would try' if dry_run else 'Trying'} {len(candidates)} paper(s):\n")
+
+    downloaded = 0
+    found_arxiv = 0
+    failed = 0
+    failed_list = []
+
+    for i, entry in enumerate(candidates):
+        doi = entry.get("doi", "")
+        # Clean DOI - extract from URL if needed
+        if doi.startswith("https://doi.org/"):
+            doi = doi[len("https://doi.org/"):]
+        elif doi.startswith("http://doi.org/"):
+            doi = doi[len("http://doi.org/"):]
+
+        print(f"[{i+1}/{len(candidates)}] {entry['id']}")
+        print(f"  {entry['title'][:80]}")
+
+        if dry_run:
+            continue
+
+        pdf_path = PAPERS_DIR / entry["id"] / "paper.pdf"
+        success = False
+
+        # Strategy 1: Semantic Scholar
+        if doi:
+            print("  Trying Semantic Scholar...", end=" ")
+            pdf_url, arxiv_id = try_semantic_scholar(doi)
+
+            # If S2 found an arXiv ID we didn't have, record it
+            if arxiv_id and not entry.get("arxiv_id"):
+                entry["arxiv_id"] = arxiv_id
+                found_arxiv += 1
+                print(f"(found arXiv:{arxiv_id})", end=" ")
+
+            if pdf_url:
+                print(f"got URL")
+                success = download_pdf(pdf_url, pdf_path)
+            elif arxiv_id:
+                print("no PDF URL, trying arXiv")
+                success = try_arxiv_fallback(arxiv_id, pdf_path)
+            else:
+                print("no result")
+
+        # Strategy 2: Unpaywall
+        if not success and doi:
+            print("  Trying Unpaywall...", end=" ")
+            pdf_url = try_unpaywall(doi)
+            if pdf_url:
+                print(f"got URL")
+                success = download_pdf(pdf_url, pdf_path)
+            else:
+                print("no open access PDF")
+
+        if success:
+            entry["status"] = "downloaded"
+            entry["directory"] = f"papers/{entry['id']}"
+            downloaded += 1
+        else:
+            failed += 1
+            failed_list.append(entry)
+
+        time.sleep(DELAY_SECONDS)
+
+    if not dry_run:
+        save_registry(entries)
+
+        # Write remaining failures to manual-download-needed.txt
+        with open(ROOT / "manual-download-needed.txt", "w") as f:
+            f.write(f"# Papers requiring manual download ({len(failed_list)} total)\n")
+            f.write(f"# All automated download strategies exhausted.\n")
+            f.write(f"# Download PDF manually → papers/<slug>/paper.pdf\n\n")
+            for e in failed_list:
+                url = e.get("source_url", e.get("doi", "no URL"))
+                f.write(f"{e['id']}\n")
+                f.write(f"  {e['title']}\n")
+                f.write(f"  {e.get('year', '?')} | {e.get('venue', '?')}\n")
+                f.write(f"  {url}\n\n")
+
+        print(f"\nDone. Downloaded: {downloaded}, Failed: {failed}")
+        print(f"Found {found_arxiv} new arXiv IDs via Semantic Scholar")
+        if failed_list:
+            print(f"Remaining {len(failed_list)} written to manual-download-needed.txt")
+    else:
+        print(f"\nDry run complete.")
+
+
+if __name__ == "__main__":
+    main()

	ai-research-survey Systematic scan of agentic development research. What's signal, what's noise.
	git clone https://git.shiptheloop.com/ai-research-survey.git
	Log \| Files \| Refs

A	manual-download-needed.txt	\|	3753	+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
A	scripts/download-doi.py	\|	250	+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++