Papers with decision-making accuracy

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Courtroom-LLM: A Legal-Inspired Multi-LLM Framework for Resolving Ambiguous Text Classifications (2025.coling-main)

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Challenge: Using a multi-LLM structure inspired by legal courtroom processes, we demonstrate that it can improve decision-making accuracy in ambiguous text classification scenarios.
Approach: They propose a legal-inspired multi-LLM structure that simulates a courtroom setting within LLMs and assigns roles similar to those of prosecutors, defense attorneys, and judges.
Outcome: The proposed model outperforms both single-LLM classifiers and simpler multi-LLMS setups in ambiguous text classification tasks.

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