Author

Ameet Talwalkar

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#machine learning Jul 2026

Learning from 53.6K Real-World Developer Edits of AI-Generated Code

DECODE (Developer Edits of Code Dataset), a dataset of 53.6K real-world in-IDE code edits of AI-generated code in Python, TypeScript, and JavaScript, is introduced, and finetuning on DECODE enables open-source 3B models to perform code edit prediction tasks significantly better than frontier LLMs.

Jenny T Liang, M. Bairathi, Wayne Chi et al. · arXiv.org · 1 citation

#artificial intelligence Jun 2026

ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues

The results show that LLM agents, even without executing code, can identify many real-world reproducibility problems from paper-repository pairs, and ReproRepo can serve as a reusable, scalable framework for future evaluations of LLM agents on real-world reproducibility auditing.

Shanda Li, Qiuhong Anna Wei, Jingwu Tang et al. · arXiv.org · 0 citations