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Chengpeng Wang

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#artificial intelligence Preprint Sep 2026

WitnessGym: Benchmarking Coding Agents on the Construction of Bug Witnesses

Bug validation asks a coding agent to produce an executable witness for a reported bug. The witness combines a concrete input with a testing harness and exposes faulty behavior during execution. Such evidence makes audit findings actionable, yet benchmark evaluation is difficult when cases reuse public historical bugs...

Hao-Min Qi, Xiang-Zhe Xu, Yi-Ming Huang et al. · 0 citations
Jul 2026

SLBench: Evaluating How LLM Agents Follow Logical Relations in Skills

This work introduces SkillLogic, a framework for analyzing logical relations in skill files and constructing executable tests from them, and establishes logical-relation following as a distinct reliability challenge for skill-guided agents.

Xuan Chen, Chengpeng Wang, Lu Yan et al. · 0 citations

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