Author

Saurabh Pujar

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Preprint Jul 2026

How Do LLMs Read Bug Reports? An Empirical Study of Attention in LLMs for Automated Program Repair

The first empirical study of attention patterns in LLM-based program repair is presented, providing interpretable insights into how models process bug reports and where their attention is concentrated during repair, and indicates that stronger alignment between model attention and developer-identified key sections and phrases is associated with higher repair success.

Ramtin Ehsani, Irene Manotas, Saurabh Pujar et al. · 0 citations

Preprint Aug 2026

One Recipe, Many Harnesses: What Self-Evolution Encodes Across Languages and Models

Together, these results recast the evolved harness as a legible compensation layer, shaped jointly by the language's engineering demands and the model's behavioral gaps, rather than an opaque benchmark-tuned scaffold.

Siqi Yang, Qianlan Yang, Yu-Xiong Wang et al. · 2 citations