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CanLegalRAGBench: Evaluating Retrieval-Augmented Generation on Canadian Case Law

arXiv cs.CL ↗ · 2026-06-01 Cached

Introduces CanLegalRAGBench, a benchmark for evaluating retrieval-augmented generation on Canadian case law using realistic queries and expert-annotated answers. The evaluation reveals sensitivity to design choices, competitiveness of open-source embedding models, and persistent hallucinations in generated answers.

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