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OBJECTION slashes the False Guilty Rate in legal AI predictions from over 82% to under 17% by challenging prosecutorial bias in real-time.
Set-level compatibility learning not only boosts retrieval accuracy but also reveals that combining outputs from diverse retrievers outperforms traditional single-document approaches.
