1 citations · 1 across the 2 of their papers we have counts for
4 papers
Which Changes Matter? Towards Trustworthy Legal AI via Relevance-Sensitive Evaluation and Solver-Grounded Reasoning
Chen Linze, Cai Yufan, Hou Zhe +1
Legal reasoning requires distinguishing changes that matter from those that do not. Legal AI should remain stable under legally irrelevant perturbations, but should change when per…
Uncertainty Reasoning with Large Language Models for Explainable Disease Diagnosis
Xiaoyang Fan, Yufan Cai, Zhe Hou +1
Clinical decision-making requires reasoning over incomplete, imprecise, and linguistically expressed patient narratives. While large language models (LLMs) excel at extracting late…
TennisExpert: Towards Expert-Level Analytical Sports Video Understanding
Zhaoyu Liu, Xi Weng, Lianyu Hu +4
Tennis is one of the most widely followed sports, generating extensive broadcast footage with strong potential for professional analysis, automated coaching, and real-time commenta…
Towards Trustworthy Legal AI through LLM Agents and Formal Reasoning
Linze Chen, Yufan Cai, Zhe Hou +1
Legal decisions should be logical and based on statutory laws. While large language models(LLMs) are good at understanding legal text, they cannot provide verifiable justifications…