Feb. 27, 2024, 5:49 a.m. | Tian Xia, Zhiwei He, Tong Ren, Yibo Miao, Zhuosheng Zhang, Yang Yang, Rui Wang

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.15813v1 Announce Type: new
Abstract: Bargaining is an important and unique part of negotiation between humans. As LLM-driven agents learn to negotiate and act like real humans, how to evaluate agents' bargaining abilities remains an open problem. For the first time, we formally described the Bargaining task as an asymmetric incomplete information game, defining the gains of the Buyer and Seller in multiple bargaining processes. It allows us to quantitatively assess an agent's performance in the Bargain task. We collected …

abstract act agents arxiv benchmark cs.cl cs.gt humans learn llm llms measuring negotiation part type

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