mlsanityData to 14 Oct 2026

CodeR: Issue Resolving with Multi-Agent and Task Graphs

arXiv 2406.01304 ↗First posted 3 Jun 2024cs.CL cs.AI cs.SEcited by 91

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Cited by 60 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

GitHub issue resolving recently has attracted significant attention from academia and industry. SWE-bench is proposed to measure the performance in resolving issues. In this paper, we propose CodeR, which adopts a multi-agent framework and pre-defined task graphs to Repair & Resolve reported bugs and add new features within code Repository. On SWE-bench lite, CodeR is able to solve 28.33% of issues, when submitting only once for each issue. We examine the performance impact of each design of CodeR and offer insights to advance this research direction.

Key facts. Cited by 91 papers in the map (data through 14 Oct 2026). Builds on 24 of its 51 references that are in the map. First posted on arXiv 3 Jun 2024.

Builds on

24 of 51 references.

References · 24

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  3. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
  4. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  5. 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,373
  6. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,808
  7. 2024SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineeringcited by 1,737
  8. 2024AutoCodeRover: Autonomous Program Improvementcited by 278
  9. 2023Auto-GPT for Online Decision Making: Benchmarks and Additional Opinionscited by 255
  10. 2022Large Language Models Meet NL2Code: A Surveycited by 138
  11. 2024MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolutioncited by 134
  12. 2021CURE: Code-Aware Neural Machine Translation for Automatic Program Repaircited by 86
12 more
  1. 2023A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trendscited by 66
  2. 2019TBar: Revisiting Template-based Automated Program Repaircited by 65
  3. 2022Parsel: Algorithmic Reasoning with Language Models by Composing Decompositionscited by 64
  4. 2023Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Codecited by 62
  5. 2019Improving Multi-turn Dialogue Modelling with Utterance ReWritercited by 58
  6. 2021A Syntax-Guided Edit Decoder for Neural Program Repaircited by 57
  7. 2021Neural Program Repair with Execution-based Backpropagationcited by 50
  8. 2024CodeS: Natural Language to Code Repository via Multi-Layer Sketchcited by 28
  9. 2019Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoningcited by 24
  10. 2018FixMiner: Mining Relevant Fix Patterns for Automated Program Repaircited by 22
  11. 2018AVATAR : Fixing Semantic Bugs with Fix Patterns of Static Analysis Violationscited by 22
  12. 2018An Empirical Study of Fault Localization Families and Their Combinationscited by 13

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 19; 2025: 38; 2026: 34.

91 papers.

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  1. 2024Agentless: Demystifying LLM-based Software Engineering Agentscited by 421
  2. 2024Training Software Engineering Agents and Verifiers with SWE-Gymcited by 336
  3. 2024Agent-as-a-Judge: Evaluate Agents with Agentscited by 238
  4. 2024Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflowscited by 232
  5. 2024Large Language Model-Based Agents for Software Engineering: A Surveycited by 178
  6. 2025The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Taskscited by 152
  7. 2025Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systemscited by 126
  8. 2025Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environmentscited by 95
  9. 2024CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databasescited by 65
  10. 2025SWE-Exp: Experience-Driven Software Issue Resolutioncited by 65
  11. 2024HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scalecited by 61
  12. 2024Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvementcited by 61
38 more
  1. 2025SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolutioncited by 53
  2. 2024MASAI: Modular Architecture for Software-engineering AI Agentscited by 49
  3. 2026SWE-Pruner: Self-Adaptive Context Pruning for Coding Agentscited by 44
  4. 2024Human-In-the-Loop Software Development Agentscited by 42
  5. 2025ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Explorationcited by 37
  6. 2024Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agentscited by 36
  7. 2025Evaluating Agent-based Program Repair at Googlecited by 35
  8. 2024TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved?cited by 34
  9. 2025RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Codecited by 30
  10. 2025Otter: Generating Tests from Issues to Validate SWE Patchescited by 25
  11. 2025Process-Centric Analysis of Agentic Software Systemscited by 24
  12. 2025Agentic Bug Reproduction for Effective Automated Program Repair at Googlecited by 22
  13. 2025Unified Software Engineering Agent as AI Software Engineercited by 19
  14. 2026Building Effective AI Coding Agents for the Terminal: Scaffolding, Harness, Context Engineering, and Lessons Learnedcited by 18
  15. 2024MdEval: Massively Multilingual Code Debuggingcited by 16
  16. 2025CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositoriescited by 15
  17. 2025Git Context Controller: Manage the Context of LLM-based Agents like Gitcited by 15
  18. 2025Tool-integrated Reinforcement Learning for Repo Deep Searchcited by 15
  19. 2025From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligencecited by 15
  20. 2025An Empirical Study of Agent Developer Practices in AI Agent Frameworkscited by 14
  21. 2024AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Frameworkcited by 12
  22. 2025A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networkscited by 11
  23. 2024LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issuescited by 10
  24. 2024CodeV: Issue Resolving with Visual Datacited by 9
  25. 2025Aime: Towards Fully-Autonomous Multi-Agent Frameworkcited by 9
  26. 2026Autonomous Research Agents: A Survey of AI Scientists and the Verification Gapcited by 9
  27. 2025Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair Systemscited by 8
  28. 2026Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Applicationcited by 8
  29. 2025SWE-Factory: Your Automated Factory for Issue Resolution Training Data and Evaluation Benchmarkscited by 7
  30. 2025InfCode: Adversarial Iterative Refinement of Tests and Patches for Reliable Software Issue Resolutioncited by 7
  31. 2025BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimizationcited by 7
  32. 2024Targeting the Core: A Simple and Effective Method to Attack RAG-based Agents via Direct LLM Manipulationcited by 6
  33. 2025CodeVisionary: An Agent-based Framework for Evaluating Large Language Models in Code Generationcited by 6
  34. 2025Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedbackcited by 6
  35. 2025TDFlow: Agentic Workflows for Test Driven Developmentcited by 6
  36. 2025Investigating Test Overfitting on SWE-benchcited by 6
  37. 2025Agentic Software Issue Resolution with Large Language Models: A Surveycited by 6
  38. 2026RepoRepair: Leveraging Code Documentation for Repository-Level Automated Program Repaircited by 6

50 most cited of 91 All 91 (JSON)