MAC framework selects Pareto-optimal LLM agents and masks low cross-consistency outputs for adaptive collaboration in medical decision-making.
Rethinking the bounds of llm reasoning: Are multi-agent discussions the key? In 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024, pages 6106–6131
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MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making
MAC framework selects Pareto-optimal LLM agents and masks low cross-consistency outputs for adaptive collaboration in medical decision-making.