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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Saurabh Pujar

IBM Research

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#artificial intelligence Jun 2025

Understanding Automated Program Repair Agents Through the Lens of Traceability: An Empirical Study

This study traces the full decision-making pipelines of the 5 APR agents across 500 real-world repair tasks, from issue description to patch validation, and reveals that, while agents excel at simple fixes, they struggle with logic-intensive bugs.

Ira Ceka, Saurabh Pujar, Shyam Ramji et al. · 0 citations · ⚡1
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...

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

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