arXiv (OAI Expanded)
open access
AgentPack: A Dataset of Code Changes, Co-Authored by Agents and Humans
Fine-tuning large language models for code editing has typically relied on mining commits and pull requests. The working hypothesis has been that commit messages describe human intent in natural language, and patches to code describe the changes that implement that intent. However, much of the previ
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Probe-and-Refine Tuning of Repository Guidance for Coding Agents#290565
- Code That Works, Environments That Don't: Measuring Environment Reproducibility in AI-Generated Software#1169635
- Code That Works, Environments That Don't: Measuring Environment Reproducibility in AI-Generated Software#1155360
- On the Footprints of Reviewer Bots Feedback on Agentic Pull Requests in OSS GitHub Repositories#138993
- RuBench: A Repository-Level Agentic Coding Benchmark with Natively Authored Russian Task Specifications#346553
Record · ID 1123950
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive