arXiv (OAI Expanded)
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EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory
EVINCE (Entropy and Variation IN Conditional Exchanges) is a novel framework for optimizing multi-LLM dialogues using conditional statistics and information theory. It addresses limitations in multi-agent debate (MAS) frameworks, where multiple LLMs chat without behavior modulation or mutual informa
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