Author

Xin Dai

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#natural language process... Preprint Sep 2026

LexReward: A Taxonomy-Driven Reward Framework for Legal Language Models

Experiments show that the rubric-based rewards reliably distinguish legal responses of different quality and that DPO training on the preference data improves performance across all three dimensions, and Dimension-wise analyses further support the effectiveness of the proposed taxonomy and reward construction.

Yi-Da Cai, Xin Dai, Bing-Xiang He et al. · 0 citations

Jul 2026

REFACT: Adaptive Fact Restatement for Compact and Faithful Chain-of-Thought Reasoning

REFACT is an adaptive fact-restatement citation framework that enables LLMs to determine when contextual grounding is needed and selectively restate source facts at appropriate levels of detail for reliable reasoning.

Zhensheng Jin, Xin Dai, Zhenghao Liu et al. · arXiv.org · 0 citations