Author

Xiaoyu Shi

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Preprint Aug 2026

APTER: Adaptive Post-Training with Expert-Grounded Rubrics

This work proposes APTER (Adaptive Post-Training with Expert-Grounded Rubrics), a framework that integrates structured domain knowledge into fine-grained evaluation, optimization, and diagnosis for specialized complex reasoning and shows consistent gains across both domains.

Xu-Kai Wang, Liangqi Li, Zhi-Yu Xu 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