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CLAIR-Fin is an adversarial multi-agent framework designed to enhance faithfulness in cross-modal financial question answering by decomposing questions into atomic claims and using adaptive debate and verification to reduce hallucinations.
This paper introduces a relevance-sensitive evaluation suite for legal AI, demonstrating that LLMs are overly sensitive to legally irrelevant perturbations, and proposes LexGuard, an adversarial multi-agent framework using formal reasoning to improve legal reasoning reliability.