GitHub issue resolution

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (10 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
  9 Jan 2025 2 repositories listed Syntology ran 0 of 15 samples · 15 unverified
  To mitigate the lack of publicly available datasets, we compile an extensive dataset that includes 110K GitHub issues along with their corresponding patches and train the two models of SWE-Fixer separately.
• HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale
  9 Sep 2024 2 repositories listed
  Large Language Models (LLMs) have revolutionized software engineering (SE), showcasing remarkable proficiency in various coding tasks.
• SWE-Factory: Your Automated Factory for Issue Resolution Training Data and Evaluation Benchmarks
  12 Jun 2025 1 repository listed
  Constructing large-scale datasets for the GitHub issue resolution task is crucial for both training and evaluating the software engineering capabilities of Large Language Models (LLMs).
• An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation
  26 May 2025 1 repository listed
  We study cost-efficient collaboration between strong and weak language models for repository-level code generation, where the weak model handles simpler tasks at lower cost, and the most challenging tasks are delegated…
• LocAgent: Graph-Guided LLM Agents for Code Localization
  12 Mar 2025 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  By parsing codebases into directed heterogeneous graphs, LocAgent creates a lightweight representation that captures code structures (files, classes, functions) and their dependencies (imports, invocations,…
• Can Github issues be solved with Tree Of Thoughts?
  20 May 2024 1 repository listed
  While there have been extensive studies in code generation by large language models (LLM), where benchmarks like HumanEval have been surpassed with an impressive 96.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.