Author

Bo-Yang Yang

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#artificial intelligence Preprint Oct 2026

Do Tool Calls Execute as Intended? Measuring and Repairing Intent-Execution Correspondence in LLM Agents

IEC-Bench is built from the changes observed in real-world use, with chains of dependent calls under the execution paths of 4 widely-used harnesses, and intent-execution correspondence (IEC) is defined as the property that the executed action matches the action the emitted call denotes under the tool contract.

Bo-Yang Yang, Zhen-Hao Li, Zi-Yao Yang et al. · 0 citations

Review Aug 2026

Refine After Generation: Toward Correct and Concise Patches in LLM-based Program Repair

This paper identifies patch verbosity as a major yet overlooked concern in LLM-based APR and proposes RECAP, a lightweight, plug-and-play adapter that attaches to existing repair frameworks after generation that achieves a substantially better size-correctness tradeoff.

Wen-Qiang Luo, J. Keung, Xiaoyu Shi et al. · 1 citation