Author

Hao-Ye Tian

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#natural language process... Preprint Oct 2026

SpecGuardBench: Can Coding Agents Construct Reliable Validation Harnesses from Natural Language Specifications?

As coding agents become more capable, tests remain the primary evidence for judging whether their code is correct. Yet passing available tests does not establish that an implementation satisfies its natural language specification. Reliable validation requires checks that faithfully capture the specification and scenari...

Zhiqing Zhong, Ming-Yu Chen, Ao-Yang Fang et al. · 0 citations

#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