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OBJECTION, an inference-time pipeline that integrates an Adversarial Lawyer Agent into each 3-step reasoning of offense, unlawfulness, and culpability, denotes a key progress toward aligning Legal AI with the presumption of innocence.
Experiments show that set-level compatibility learning improves retrieval performance and downstream QA task performance, and that the proposed set-level retrievers not only outperform document-level retrievers, but also exhibit complementary retrieval characteristics: combining their outputs yields stronger performanc...
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