Papers GitHub issue resolution
“GitHub issue resolution” 태그가 달린 논문 10편 · 필터 해제
How Does LLM Reasoning Work for Code? A Survey and a Call to Action
The rise of large language models (LLMs) has led to dramatic improvements across a wide range of natural language tasks. These advancements have extended into the domain of code, facilitating complex tasks such as code g…
Code GenerationGitHub issue resolutionSWE-Factory: Your Automated Factory for Issue Resolution Training Data and Evaluation Benchmarks
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). However, the traditional process f…
GitHub issue resolutionvalidAn Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation
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 t…
Code GenerationGitHub issue resolutionSeaView: Software Engineering Agent Visual Interface for Enhanced Workflow
Auto-regressive LLM-based software engineering (SWE) agents, henceforth SWE agents, have made tremendous progress (>60% on SWE-Bench Verified) on real-world coding challenges including GitHub issue resolution. SWE agents…
GitHub issue resolutionUnveiling Pitfalls: Understanding Why AI-driven Code Agents Fail at GitHub Issue Resolution
AI-driven software development has rapidly advanced with the emergence of software development agents that leverage large language models (LLMs) to tackle complex, repository-level software engineering tasks. These agent…
FairnessGitHub issue resolutionLocAgent: Graph-Guided LLM Agents for Code Localization
Code localization--identifying precisely where in a codebase changes need to be made--is a fundamental yet challenging task in software maintenance. Existing approaches struggle to efficiently navigate complex codebases …
GitHub issue resolutionNavigateSWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
Large Language Models (LLMs) have demonstrated remarkable proficiency across a variety of complex tasks. One significant application of LLMs is in tackling software engineering challenges, particularly in resolving real-…
GitHub issue resolutionRetrievalHyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale
Large Language Models (LLMs) have revolutionized software engineering (SE), showcasing remarkable proficiency in various coding tasks. Despite recent advancements that have enabled the creation of autonomous software age…
Code GenerationFault localizationGitHub issue resolutionProgram RepairCan Github issues be solved with Tree Of Thoughts?
While there have been extensive studies in code generation by large language models (LLM), where benchmarks like HumanEval have been surpassed with an impressive 96.3% success rate, these benchmarks predominantly judge a…
Code GenerationGitHub issue resolutionHumanEvalLanguage Modelling+2MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
In software development, resolving the emergent issues within GitHub repositories is a complex challenge that involves not only the incorporation of new code but also the maintenance of existing code. Large Language Mode…
Code GenerationGitHub issue resolution