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Pin-Jia He

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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

Don't Guess, Just Ask: Evaluating Interactive Requirement Clarification for Repository-Level Software Development

As LLMs become increasingly capable of implementing software, a critical bottleneck emerges: whether they truly understand what users want. Users often begin with vague intent, leaving important requirements to be clarified through interaction. In repository-level development, misunderstandings can propagate and cause...

Ming-Yu Chen, Zhiqing Zhong, Man-Yi Wang et al. · 0 citations

Jul 2026

PAIChecker: Uncovering and Checking PR-Issue Misalignment in SWE-Bench-Like Benchmarks

PAIChecker, a multi-agent system for checking PR-Issue misalignment in SWE-bench-like benchmarks, adopts a three-phase design that combines specific pattern identification, cross-agent label synthesis, and code-level validation, thereby enabling more accurate, generalizable, and progressively verified detection.

Manyi Wang, Junjielong Xu, Pinjia He · arXiv.org · 0 citations