A method combining LLM-extracted qualitative cues with Bayesian belief tracking improves full agreement rates and preference estimation accuracy in multi-agent negotiations.
InProceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (V olume 1: Long Papers), pages 15959–15983, Bangkok, Thailand
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Preference Estimation via Opponent Modeling in Multi-Agent Negotiation
A method combining LLM-extracted qualitative cues with Bayesian belief tracking improves full agreement rates and preference estimation accuracy in multi-agent negotiations.