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cs.CL2026
LexRubric: A Rubric-Guided Diagnostic Benchmark for Open-Ended Legal Tasks
Yifan Chen, Haitao Li, Yiran Hu +6
As large language models (LLMs) are increasingly applied to real-world legal tasks, evaluating the reliability of their open-ended legal responses has become essential. These tasks…
cs.CL2025
When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
Yongjie Wang, Yue Yu, Kaisong Song +2
Large Language Models (LLMs) have enabled a wide range of applications through their powerful capabilities in language understanding and generation. However, as LLMs are trained on…