mlsanityData to 7 Oct 2026

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation

arXiv 2402.16667 ↗First posted 26 Feb 2024cs.CL cs.AIcited by 69

Not on the map. Why?

Cited by 29 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Generative models have demonstrated considerable potential in software engineering, particularly in tasks such as code generation and debugging. However, their utilization in the domain of code documentation generation remains underexplored. To this end, we introduce RepoAgent, a large language model powered open-source framework aimed at proactively generating, maintaining, and updating code documentation. Through both qualitative and quantitative evaluations, we have validated the effectiveness of our approach, showing that RepoAgent excels in generating high-quality repository-level documentation. The code and results are publicly accessible at https://github.com/OpenBMB/RepoAgent.

Key facts. Cited by 69 papers in the map (data through 7 Oct 2026). Builds on 17 of its 42 references that are in the map. First posted on arXiv 26 Feb 2024.

Builds on

17 of 42 references.

References · 17

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  4. 2021Evaluating Large Language Models Trained on Codecited by 8,053
  5. 2023Code Llama: Open Foundation Models for Codecited by 2,105
  6. 2023ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIscited by 1,880
  7. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,761
  8. 2022CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesiscited by 876
  9. 2023StarCoder: may the source be with you!cited by 790
  10. 2023Tool Learning with Foundation Modelscited by 302
  11. 2016A Convolutional Attention Network for Extreme Summarization of Source Codecited by 90
  12. 2023Lemur: Harmonizing Natural Language and Code for Language Agentscited by 71
5 more
  1. 2022Automatic Code Documentation Generation Using GPT-3cited by 37
  2. 2023ProAgent: From Robotic Process Automation to Agentic Process Automationcited by 26
  3. 2023A Prompt Learning Framework for Source Code Summarizationcited by 9
  4. 2023Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHubcited by 7
  5. 2023gDoc: Automatic Generation of Structured API Documentationcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 22; 2025: 25; 2026: 22.

69 papers.

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  1. 2024LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Codecited by 1,906
  2. 2025UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learningcited by 205
  3. 2024Large Language Model-Based Agents for Software Engineering: A Surveycited by 173
  4. 2024RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrievalcited by 114
  5. 2025SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agentscited by 80
  6. 2025Paper2Code: Automating Code Generation from Scientific Papers in Machine Learningcited by 67
  7. 2024CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databasescited by 62
  8. 2024Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Explorationcited by 58
  9. 2024Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvementcited by 57
  10. 2024Long Code Arena: a Set of Benchmarks for Long-Context Code Modelscited by 48
  11. 2024AgileCoder: Dynamic Collaborative Agents for Software Development based on Agile Methodologycited by 45
  12. 2024HelloBench: Evaluating Long Text Generation Capabilities of Large Language Modelscited by 42
38 more
  1. 2025EnvBench: A Benchmark for Automated Environment Setupcited by 36
  2. 2025Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Datacited by 27
  3. 2025Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Taskscited by 27
  4. 2025Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Computecited by 25
  5. 2024The Future of AI-Driven Software Engineeringcited by 23
  6. 2025RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solvingcited by 19
  7. 2025Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learningcited by 19
  8. 2024VersiCode: Towards Version-controllable Code Generationcited by 14
  9. 2024LiCoEval: Evaluating LLMs on License Compliance in Code Generationcited by 13
  10. 2025AgentMaster: A Multi-Agent Conversational Framework Using A2A and MCP Protocols for Multimodal Information Retrieval and Analysiscited by 13
  11. 2025From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligencecited by 13
  12. 2025MatTools: Benchmarking Large Language Models for Materials Science Toolscited by 11
  13. 2026LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generationcited by 11
  14. 2025Agent-S: LLM Agentic workflow to automate Standard Operating Procedurescited by 10
  15. 2025CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verificationcited by 7
  16. 2024AgentGroupChat: An Interactive Group Chat Simulacra For Better Eliciting Emergent Behaviorcited by 6
  17. 2024CursorCore: Assist Programming through Aligning Anythingcited by 6
  18. 2024Leveraging Large Language Models in Code Question Answering: Baselines and Issuescited by 6
  19. 2026DeployBench: Benchmarking LLM Agents for Research Artifact Deploymentcited by 6
  20. 2024Crystal: Illuminating LLM Abilities on Language and Codecited by 5
  21. 2025See, Think, Act: Online Shopper Behavior Simulation with VLM Agentscited by 5
  22. 2026RepoRepair: Leveraging Code Documentation for Repository-Level Automated Program Repaircited by 5
  23. 2026VeriCache: Turning Lossy KV Cache into Lossless LLM Inferencecited by 5
  24. 2024Repository Structure-Aware Training Makes SLMs Better Issue Resolvercited by 4
  25. 2024Fortran2CPP: Automating Fortran-to-C++ Translation using LLMs via Multi-Turn Dialogue and Dual-Agent Integrationcited by 4
  26. 2025LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?cited by 4
  27. 2025Gistify! Codebase-Level Understanding via Runtime Executioncited by 4
  28. 2024Repository-Level Graph Representation Learning for Enhanced Security Patch Detectioncited by 3
  29. 2026Investigating Autonomous Agent Contributions in the Wild: Activity Patterns and Code Change over Timecited by 3
  30. 2026Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agentscited by 3
  31. 2024DocuMint: Docstring Generation for Python using Small Language Modelscited by 2
  32. 2024On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editingcited by 2
  33. 2025Timing Analysis Agent: Autonomous Multi-Corner Multi-Mode (MCMM) Timing Debugging with Timing Debug Relation Graphcited by 2
  34. 2025EnvX: Agentize Everything with Agentic AIcited by 2
  35. 2025An Empirical Study of Reasoning Steps in Thinking Code LLMscited by 2
  36. 2026CP-Agent: A Calibrated Risk-Controlled Agent for Feedback-Driven Competitive Programmingcited by 2
  37. 2024StackRAG Agent: Improving Developer Answers with Retrieval-Augmented Generationcited by 1
  38. 2025Goal2Story: A Multi-Agent Fleet based on Privately Enabled sLLMs for Impacting Mapping on Requirements Elicitationcited by 1

50 most cited of 69 All 69 (JSON)