Self-collaboration code generation via ChatGPT

Cited by (572)

Items 401–500 of 572

1. On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents
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2. Execution Guided Line-by-Line Code Generation
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3. KGMACG: Knowledge-Guided Multi-Agent Orchestration for Scalable Application-Level Code Generation
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4. Learning how much to collaborate: Difficulty-aware topology selection for multi-agent code generation
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5. SpecCoder: Specification-Aware Code Generation with Curriculum Dual-Task Reinforcement Learning
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6. ChemAutoAgent: A Multi-Agent System for Evidence-Controlled Laboratory Instrument Driver Generation from Text-Based Manuals
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7. Measure Twice, Locate Once: Mitigating Hallucinations in LLM-based Agents for Repository-Scale Fault Localization
   Feiyu Chen, Guowei Yang, Cheryl Lee, Zhanming Jie, Yu-Qi Chen · 2026 · ACM Transactions on Software Engineering and Methodology
8. LLM-based Specification-Driven Test Oracle Enhancement
   Ruifeng Fu, Ying-Quan Zhao, Meng Wang, Zan Wang, Jun-Jie Chen · 2026 · SIGSOFT FSE Companion
9. CGTest: A hybrid coverage-guided framework for cost-effective unit test generation
   Zhiquan Yang, Hao-Ye Wang, Yu-Hai Hu, Bin Gu, Qiang Xiong, Hong-Wen Huo, Chao Xiang, Zhong-Xin Liu · 2026 · Journal of Systems and Software
10. The Age of Autonomous Agents: A Bibliometric Review of Agentic AI Architectures, Applications, and Emerging Challenges
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11. Improving Data Leakage Detection in Machine Learning Notebooks through Static Slicing and Structured LLM Prompts
    Taha Draoui, M. Mkaouer, C. Newman · 2026 · Proc. ACM Softw. Eng.
12. iCoder: A multi agent software development platform
    Yuxuan You, De-Jun Ning, Shao-Hao Cai, Jun-Qi Bai, Jiacheng Zheng, Ji-Yan Chen · 2026 · Information and Software Technology
13. HumanEval-V: Systematic Evaluation of Visual Reasoning in Large Multimodal Models for Code Generation
    Feng-Ji Zhang, Lin-Quan Wu, Huiyu Bai, Guan-Cheng Lin, Xiao Li, Xiao Yu, Yue Wang, Bei Chen, J. Keung · 2026 · ACM Transactions on Software Engineering and Methodology
14. EngiAgent: Fully Connected Coordination of LLM Agents for Solving Open-ended Engineering Problems with Feasible Solutions
    Xi-Yuan Zhou, Rui-Xi Zou, Xin-Lei Wang, Yu-Heng Cheng, Yan Xu, Jun-Hua Zhao, Jinjin Gu · 2026 · arXiv.org
15. Consensus planning boosts LLM code generation
    Chao Wen, Jie Liu, Liang Du · 2026 · Information and Software Technology
16. iRUC: Reducing Inter-Microservice Data Communication in Data-Intensive Systems via Unified Computation
    Puwei Wang, Ruiheng Liu, Ke-Man Huang, Xiao-Yong Du · 2026 · IEEE Transactions on Software Engineering
17. Expert inputs on prompt completions: enhancing user experience in large language model-mediated academic tasks
    Gerald Nderitu Njuguna, Qingfei Min · 2026 · AI & Society
18. An Empirical Study of Interaction Smells in Multi-Turn Human-LLM Collaborative Code Generation
    Binquan Zhang, Li Zhang, Lin Shi, Song Wang, Yuwei Qian, Linhui Zhao, Fang Liu, An Fu, Yida Ye · 2026 · arXiv.org
19. SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection
    Touseef Hasan, Blessing Airehenbuwa, Nitin Pundir, Souvika Sarkar, Ujjwal Guin · 2026 · arXiv.org
20. CodeGlance: Understanding Code Reasoning Challenges in LLMs through Multi-Dimensional Feature Analysis
    Yun-Kun Wang, Xuanhe Zhang, Jun-Xiao Han, Chen Zhi, Shui-Guang Deng · 2026 · IEEE International Conference on Program Comprehension
21. Software Self-Extension with SelfEvolve: an Agentic Architecture for Runtime Code Generation
    M. Fahim, O. Adebayo, Alessio Ferrari · 2026 · SEAMS@ICSE
22. MPC-Coder: A Dual-Knowledge Enhanced Multi-Agent System with Closed-Loop Verification for PLC Code Generation
    Yongtuo Zhang, Weiyi Xia, Ben Zhao, Tongwen Yuan, Xianchuan Yu · 2026 · Symmetry
23. IntentCoding: Amplifying User Intent in Code Generation
    Zheng Fang, Yihong Dong, Li-Li Mou, Dong-Ming Jin, Zhi Jin, Ge Li · 2026 · Annual Meeting of the Association for Computational Linguistics
24. Beyond Strict Rules: Assessing the Effectiveness of Large Language Models for Code Smell Detection
    Saymon Souza, Amanda Santana, Eduardo Figueiredo, Igor Muzetti, J. E. Montandon, Lionel C. Briand · 2026 · arXiv.org
25. DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation
    Jia-Jun Jiao, Hao-Wei Zhu, Pu Yang, Jiang-Hui Wang, Ji Liu, Zi-Qiong Liu, Dong Li, Yuejian Fang, Jun-Hai Yong, Bin Wang et al. · 2026 · AAAI Conference on Artificial Intelligence
26. The Power of Small LLMs: A Multi-Agent for Code Generation via Dynamic Precaution Tuning
    Junfeng Zhang, Jinzhi Liao, Jiu-Yang Tang, Xiang Zhao · 2026 · IEEE Transactions on Software Engineering
27. Beyond Fast and Slow: Cognitive-Inspired Elastic Reasoning for Large Language Models
    Jin-Wu Hu, Dong Yang, Lang-Yu Bian, Zhi-Quan Wen, Yufeng Wang, Yao-Fo Chen, Bin Xiao, Yuan-Qing Li, Ming-Kui Tan · 2025 · arXiv.org
28. LLM Prompt Engineering for Performance in Simulation Software Development: A Metric-Based Approach to using LLMS
    James Leathrum, Abigail S. Berardi, Yu-Zhong Shen · 2025 · Online World Conference on Soft Computing in Industrial Applications
29. A Human–AI Interaction Model for Improving Speaking Skills in EFL Learning using ChatGPT
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30. Knowledge Assistant for Joint Utility: A Multi-Agent LLM-Driven Conversational System for Automated Task Execution
    Krish Gopani, Shruti Shah, Abhay Mathur, Naman Lakhani, Nilesh Rathod, Aruna Gawade · 2025 · 2025 3rd International Conference on Computational Intelligence and Network Systems (CINS)
31. Evaluating and Improving Framework-based Parallel Code Completion with Large Language Models
    Ke Liu, Qinglin Wang, Xiang Chen, Guang Yang, Yi-Gui Feng, Gencheng Liu, Jie Liu · 2025 · International Conference on Automated Software Engineering
32. PEFA-AI: Advancing Open-source LLMs for RTL generation using Progressive Error Feedback Agentic-AI
    A. Narayanan, Mahesh Subedar, Omesh Tickoo · 2025 · arXiv.org
33. Knowledge-Guided Multi-Agent Framework for Application-Level Software Code Generation
    Qian Xiong, Bo Yang, Wei-Song Sun, Yi-Ran Zhang, Tian-Lin Li, Yang Liu, Zhi Jin · 2025 · arXiv.org
34. Reasoning Distillation and Structural Alignment for Improved Code Generation
    Amir Jalilifard, Anderson de Rezende Rocha, Marcos M. Raimundo · 2025 · arXiv.org
35. Impact of LLMs on Team Collaboration in Software Development
    Devang Dhanuka · 2025 · arXiv.org
36. Analyzing the Instability of Large Language Models in Automated Bug Injection and Correction
    M. Er, Nagehan Ilhan, Umut Kuran · 2025 · arXiv.org
37. Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems
    Yu-Tong Wu, Jie Zhang, Yi-Ming Li, Chao Zhang, Qing Guo, Han Qiu, Nils Lukas, Tian-Wei Zhang · 2025 · International Conference on Machine Learning
38. StackPilot: Autonomous Function Agents for Scalable and Environment-Free Code Execution
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39. LLM-Empowered Scriptless Functional Testing
    Colin Van Hooren, Fernando Pastor Ricós, Stefano Bromuri, Tanja E. J. Vos, Beatriz Marín · 2025 · IEEE International Conference on Software Quality, Reliability and Security (QRS)
40. Research on Personalized Postgraduate Training Mode Based on AI Agent and DeepSeek
    Di Zheng, Lin Chen, Xianfeng Zhang · 2025 · 2025 5th International Conference on Artificial Intelligence and Education (ICAIE)
41. A contracted container-based code component collaboration model with reusable but invisible right management
    Wei Wang, Zhen-Ping Xie · 2025 · Information Processing & Management
42. Code2API: A Tool for Generating Reusable APIs from Stack Overflow Code Snippets
    Yubo Mai, Zhi-Peng Gao, Xing Hu, Ling-Feng Bao, Jing-Yuan Chen, Jian-Ling Sun · 2025 · ISSTA Companion
43. Symbio Coding: An Educational Testbed for AI Agent Simulation as Software Development Team Member
    Boriss Misnevs, M. Savrasovs, Nadezda Spiridovska · 2025 · International Conference Innovation Engineering and Technology
44. A Systematic Review of Large Language Models in Programming Learning: Applications, Effects, and Future Directions
    Qiqi Ru, Yuxuan Wang, Chenxi Huang, Heng Luo · 2025 · International Conference on Computer Science and Technologies in Education (CSTE)
45. Research on the Application of AI Agent in Postgraduate Education
    Di Zheng, Lin Chen, Xianfeng Zhang · 2025 · 2025 7th International Conference on Computer Science and Technologies in Education (CSTE)
46. Augmented intelligence in social engineering attacks: a diffusion of innovation perspectiv
    Kennedy Njenga, Baswabile Matemane · 2025 · International Journal of Business Ecosystem & Strategy (2687-2293)
47. Mitigating sensitive information leakage in LLMs4Code through machine unlearning
    Shanzhi Gu, Zhaoyang Qu, Ruotong Geng, Mingyang Geng, Shangwen Wang, Chuanfu Xu, Haotian Wang, Zhipeng Lin, Dezun Dong · 2026 · Neural Networks
48. One Size Does Not Fit All: Investigating Efficacy of Perplexity in Detecting LLM-Generated Code
    Jinwei Xu, He Zhang, Yanjing Yang, Lanxin Yang, Zeru Cheng, Jun Lyu, Bohan Liu, Xin Zhou, Alberto Bacchelli, Yin Kia Chiam et al. · 2025 · ACM Transactions on Software Engineering and Methodology
49. 360∘REA: Towards A Reusable Experience Accumulation with 360∘ Assessment for Multi-Agent System
    Shen Gao, Hao Li, Zhengliang Shi, Cheng-Rui Huang, Quan Tu, Shuo Shang, Zhi-Liang Tian, Min-Lie Huang · 2024 · Findings of the Association for Computational Linguistics ACL 2024
50. Integration of Artificial Intelligence in Educational Measurement: Efficacy of ChatGPT in Data Generation within the Scope of Item Response Theory
    Hatice Gurdil, Yeşim Beril Soğuksu, Salih Salihoğlu, Fatma Coşkun · 2024
51. Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle
    Xu Yang, Xiao Yang, Wei-Qing Liu, Jinhui Li, Peng Yu, Ze-Qi Ye, Jiang Bian · 2023 · arXiv.org
52. Beyond Surface-Level Pattern Trap: LLM Agents for Faster and Smarter Cross-Architecture Code Migration
    Weijia Li, Ke Gao, Peng Chen, Jiajie Li, Xinyu Wang, Yiran Le, Yi-Ze Wu, Ling Li · 2026 · Annual Meeting of the Association for Computational Linguistics
53. Saber: Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model in Code Generation
    Yihong Dong, Zhaoyu Ma, Xue Jiang, Zhi-Yuan Fan, Jia-Ru Qian, Yong-Ming Li, Jian Xiao, Zhi Jin, Ge Li · 2026 · Annual Meeting of the Association for Computational Linguistics
54. ECCC: Edge Code Cloak Coder for Privacy Code Agent
    Haoqi He, Wenzhi Xu, Ruoying Liu, Jiarui Tang, Bai-Ru Li, Xiaokai Lin · 2025 · Proceedings of the 9th Widening NLP Workshop
55. An Annotation Assisted Smart Contracts Generation Method
    Yong Chen, Defeng Hu, Chao Xu, Nannan Chen · 2024 · IEEE Access
56. Deciphering the Code: Distinguishing ChatGPT-Generated Code from Human-authored Code through Discriminative Feature Analysis and Dataset Optimization
    Ke Li, Sheng Hong, Cai Fu, Yunhe Zhang, Ming-Yu Liu · 2023 · arXiv.org
57. Multi-Agent debate system based on large language models: structured deliberation and validation in satellite communications
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58. Multi-agent Collaboration with State Management
    Liu, Mengyang, Chen, Taozhi, Xu, Zhenhua, Jiang, Xue, Dong, Yihong · 2026 · arXiv
59. When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding
    Destefanis, Giuseppe, Aste, Tomaso · 2026 · arXiv
60. Code as Agent Harness
    Ning, Xuying, Tieu, Katherine, Fu, Dongqi, Wei, Tianxin, Li, Zihao, Bei, Yuanchen, Zou, Jiaru, Ai, Mengting, Liu, Zhining, Li, Ting-Wei et al. · 2026 · arXiv
61. UniCoder: Scaling Code Large Language Model via Universal Code
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62. AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers
    Lin, Zijie, Shen, Yiqing, Cai, Qilin, Sun, He, Zhou, Jinrui, Xiao, Mingjun · 2025 · arXiv
63. SEMAG: Self-Evolutionary Multi-Agent Code Generation
    Peng, Yulin, Hou, Haowen, Zhu, Xinxin, He, Ying Tiffany, Yu, F. Richard · 2026 · arXiv
64. PaperRepro: Automated Computational Reproducibility Assessment for Social Science Papers
    Zhang, Linhao, Xia, Tong, Piao, Jinghua, Cui, Lizhen · 2026 · Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
65. Think Anywhere in Code Generation
    Jiang, Xue, Zhang, Tianyu, Li, Ge, Liu, Mengyang, Chen, Taozhi, Xu, Zhenhua, Li, Binhua, Jiao, Wenpin, Jin, Zhi, Li, Yongbin et al. · 2026 · arXiv
66. Helmsman: Autonomous Synthesis of Federated Learning Systems via Multi-Agent Collaboration
    Hao-Yuan Li, Mathias Funk, Aaqib Saeed · 2025 · arXiv.org
67. Evaluating prompting strategies for LLM-based code generation in offensive security tasks
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68. Envisioning and Co-Creating Generative AI for Future Creative Workers in Gaming: A CHI PLAY 2026 Workshop
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69. Büyük Dil Modelleri Tarafından Üretilen Kodların Yazılım Mühendisliği Ölçütleriyle Çok Boyutlu Değerlendirilmesi
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70. PAUSE: Search-Free Steering of Coding Agents Before Their First Source-Code Edit
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71. Avaliação do uso do ChatGPT para otimizar o desempenho de uma aplicação web em métricas centradas no usuário
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72. Beyond Functional Correctness: Static Code Quality Profiling of LLM-Generated Code
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73. CTForge: Automatically Generating Test Suites for Software Configuration
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74. Aligning User Requirement with Large Language Model in Code Generation
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75. Turn-Taking and Power Relations in an EFL Mini-Vlog Task: A Fairclough-Based Critical Discourse Analysis of a Ninth-Grade Classroom
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76. LLMA-UML: Extending the UML for Modeling LLM-Agent Systems
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77. Grounding large language models in hydrologic modelling
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78. Unpacking AI Agent Participation in Issue-Centered Collaboration in Open-Source Software Development
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79. Towards trustworthy and scalable agentic smart manufacturing: a roadmap for generative AI-integrated MAS 2.0
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81. ReqEvolve: User-Oriented Software Self-Evolution through Automatic Requirement Interpretation
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82. Mitigating Collaboration Degeneration in Multi-Agent Code Generation via a Controllable Competitive Collaboration Approach
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83. Process Fragment Recommendation in Process Modeling: Are LLMs the Answer?
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84. Super Library Agent: Joint Generation and Maintenance of Multiple Applications Beyond the Single Codebase
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85. On Behavioral Alignment of Model-Code and Human-Code Understandability via Behavioral Proxies
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86. PRAXIS: Graph-Grounded Tacit Knowledge for Domain Code Generation
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88. МУЛЬТИАГЕНТНІ АРХІТЕКТУРИ НА ОСНОВІ ВЕЛИКИХ МОВНИХ МОДЕЛЕЙ В ІНЖЕНЕРІЇ ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ: ВАРТІСТЬ ДЕКОМПОЗИЦІЇ
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90. BiVCoder: A Multi-Agent Framework for Code Generation via Bidirectional Code-Test Diagnosis
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91. ExeCRE: Execution-Consistency Guided Reliability Estimation for Self-Correcting Code Generation
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92. EduPluginBench: Executable Assurance for AI-Generated Educational Plugins
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93. FTDI: A Budget-Aware Self-Healing Framework for LLM Multi-Agent Code Generation
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94. A Self-Evolving Framework for Automated Constraint Programming Model Construction in Multi-Robot Task Allocation and Scheduling
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95. AssumptionMiner: Extracting, Tracing, and Revising Implicit Assumptions in LLM Code Generation
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96. Beyond Detection: Agentic Attack Synthesis and Simulation for Smart Contracts
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97. Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality
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98. Exploring the Potential of Program Flowcharts on Code Generation Using Multimodal LLMs
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99. BeSpec: Behavior-Level Specification Alignment for Code Generation
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100. Beyond multi–agent translation: engineering fidelity in legislative text translation via hierarchical control
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