Self-Collaboration Code Generation via ChatGPT

Cited by (572)

Items 301–400 of 572

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3. Automatic Robotic Development through Collaborative Framework by Large Language Models
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10. Analyzing Code Injection Attacks on LLM-based Multi-Agent Systems in Software Development
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11. DrainCode: Stealthy Energy Consumption Attacks on Retrieval-Augmented Code Generation via Context Poisoning
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14. A Methodological Framework for LLM-Based Mining of Software Repositories
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17. OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
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18. Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models
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19. A case study on the transformative potential of AI in software engineering on LeetCode and ChatGPT
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20. Seeker: Towards Exception Safety Code Generation with Intermediate Language Agents Framework
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21. A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models
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22. Hierarchical Large Language Models in Cloud-Edge-End Architecture for Heterogeneous Robot Cluster Control
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23. CodeGenWrangler: Data Wrangling task automation using Code-Generating Models
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25. A Potential Teammate?: Understanding How Indie Game Developers Approach Generative AI’s Involvement in Their Small-Scale Creative Teamwork
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26. Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
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27. QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks
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28. OpenCollab: A Multi-Agent Coding Framework with Programmable Collaboration and Controllable Runtime
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29. PairCoder++: Pair Programming as a Universal Paradigm for Verified Code-Driven Multimodal and Structured-Artifact Generation
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30. Collaborative-adversarial jailbreaking: A propagation-aware attack framework for multi-agent code generation systems
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31. Open RAN Conflict Agents: Detecting and Mitigating xApp Conflicts with Generative Agents
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32. Agentic Reverse Engineering: From I/O to Code with Discovery Agent
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33. Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation
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34. Social Bias in LLM-Generated Code: Benchmark and Mitigation
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35. Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation
    J. Li, Rui-Qi Bai, Yang Luo, Yirang Zhang, Wen-Tao Yang, Ze-Yu Sun, Tian Zhao, Dong-Ming Jin, Lei Li, Zhi Jin · 2026 · arXiv.org
36. An Iterative Test-and-Repair Framework for Competitive Code Generation
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37. Dynamic-Static Synergistic Selection Method for Candidate Code Solutions with Generated Test Cases
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38. Semantic Consensus Decoding: Backdoor Defense for Verilog Code Generation
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39. BabelCoder: Agentic Code Translation with Specification Alignment
    Fazle Rabbi, Soumit Kanti Saha, Tri Minh Triet Pham, Song Wang, Jin-Qiu Yang · 2025 · arXiv.org
40. Large Language Models for Code Translation: An In-Depth Analysis of Code Smells and Functional Correctness
    Christof Feischl, Roman Kern · 2025 · ACM Transactions on Software Engineering and Methodology
41. RealisticCodeBench: Towards More Realistic Evaluation of Large Language Models for Code Generation
    Xiao Yu, Haoxuan Chen, Linlin Liu, Xing Hu, Jacky Keung, Xin Xia · 2025 · IEEE/ACM International Conference on Automated Software Engineering (ASE)
42. TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Framework
    Shu-Zheng Gao, E. Li, Man Ho Lam, Jingyu Xiao, Yuxuan Wan, Chao-Zheng Wang, Man Tik Ng, Michael R. Lyu · 2025 · arXiv.org
43. A System-level Abstraction and Service for Flourishing AI-powered Applications
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44. Analyzing Information Sharing and Coordination in Multi-Agent Planning
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45. A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
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46. SimuPanel: A Novel Immersive Multi-Agent System to Simulate Interactive Expert Panel Discussion
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47. Prompt Engineer: Analyzing Skill Requirements in the AI Job Market
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48. MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance Computing
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49. Locally-deployed Open-source LLMs for Code Generation: Promises and Challenges
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50. Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs
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51. Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?
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52. Code Generation with Small Language Models: A Codeforces-Based Study
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53. Exploring individual factors in the adoption of LLMs for specific software engineering purposes
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54. Improving LLM-based Document-level Machine Translation with Multi-Knowledge Fusion
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55. Analysis of Concrete Air Voids: Comparing OpenAI-Generated Python Code with MATLAB Scripts and Enhancing 2D Image Processing Using 3D CT Scan Data
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56. Towards Exception Safety Code Generation with Intermediate Representation Agents Framework
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57. Checker Bug Detection and Repair in Deep Learning Libraries
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58. Automatic title completion for Stack Overflow posts and GitHub issues
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59. S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
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60. Leveraging Execution Trace with ChatGPT: A Case Study on Automated Fault Diagnosis
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61. Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation
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62. PairCoder: Pair Programming-Inspired Two-Agent Collaboration for Code Generation
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63. SPROUT: Scaling Agentic Reinforcement Learning for Long-Horizon Software Engineering
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64. Smarter Saboteurs, Better Fixers: Scaling & Security in Linear Multi-Agent Workflows
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65. From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration
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66. A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback
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67. Beyond Coverage: Automatic Test Suite Augmentation for Enhanced Effectiveness using Large Language Models
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68. Failure Localization in Multi-Agent Code Generation via Knowledge-Guided and Transferable Reasoning
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69. ProMAS: Proactive Error Forecasting for Multi-Agent Systems Using Markov Transition Dynamics
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70. Structure-guided function-level code generation with LLMs via UML activity diagrams
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71. LLM-based multi-agent systems for code generation: A multi-vocal literature review
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72. Automatic In-Domain Exemplar Construction and LLM-Based Refinement of Multi-LLM Expansions for Query Expansion
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73. CAM: A Causality-Based Analysis Framework for Multi-agent Code Generation Systems
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75. LLM-Powered Multi-Agent Systems: A Survey of Collaboration and Learning Strategies
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77. Multi-Agent LLM Committees for Autonomous Software Beta Testing
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78. Towards the Integration of Large Language Models into the Software Development Life Cycle: A Systematic Literature Review
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80. AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation
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81. Collaborative Agents for Automated Program Repair in Ruby
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82. Human-AI Co-Embodied Intelligence for Scientific Experimentation and Manufacturing
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83. Understanding the Characteristics of LLM-Generated Property-Based Tests in Exploring Edge Cases
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84. Human-Aligned Code Readability Assessment with Large Language Models
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85. Leveraging Symmetry in Multi-Agent Code Generation: A Cross-Verification Collaboration Protocol for Competitive Programming
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87. Symmetry-Aware Code Generation: Distilling Pseudocode Reasoning for Lightweight Deployment of Large Language Models
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89. LLMs for Microservice Generation: Capabilities, Challenges, and Advancements
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91. FGit: Fault-Guided Fine-Tuning for Code Generation
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94. State Diagram Extension and Test Case Generation Based on Large Language Models for Improving Test Engineers’ Efficiency in Safety Testing
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100. Can Emulating Semantic Translation Help LLMs with Code Translation? A Study Based on Pseudocode
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