Author

Yiran Hu

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Self-Refine Learning in LLM Multi-Agent Systems for Legal Norm Cognition and Compliance

A TBC-TBA self-refine learning multi-agent framework that enables dynamic normative adaptation through iterative multi-agent feedback that integrates Think-Before-Chat (social feedback processing) and Think-Before-Act (norm-guided decision making) phases, allowing agents to progressively refine their normative understanding via structured interaction cycles.

Rongxin Cheng, Jianhui Yang, Bo-Han Xiong et al. · 0 citations

#natural language process... Jun 2026

LexRubric: A Rubric-Guided Diagnostic Benchmark for Open-Ended Legal Tasks

This work introduces LexRubric, a rubric-based benchmark for evaluating open-ended Chinese legal tasks and evaluates 18 recent general and legal-domain LLMs on LexRubric, showing that different models exhibit distinct capability profiles, and that open-ended legal tasks remain challenging for current LLMs.

Yifan Chen, Haitao Li, Yiran Hu et al. · arXiv.org · 1 citation