LEGIT converts court judgments into hierarchical issue trees that act as expert rubrics to measure coverage and correctness of LLM-generated legal reasoning traces, showing that RAG and rubric-based RL provide complementary gains.
Exaone 3.5: Series of large lan- guage models for real-world use cases
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Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics
LEGIT converts court judgments into hierarchical issue trees that act as expert rubrics to measure coverage and correctness of LLM-generated legal reasoning traces, showing that RAG and rubric-based RL provide complementary gains.
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