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MindDial: Enhancing Conversational Agents with Theory-of-Mind for Common Ground Alignment and Negotiation - 논문 리뷰

https://aclanthology.org/2024.sigdial-1.63/ MindDial: Enhancing Conversational Agents with Theory-of-Mind for Common Ground Alignment and NegotiationShuwen Qiu, Mingdian Liu, Hengli Li, Song-Chun Zhu, Zilong Zheng. Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue. 2024.aclanthology.orghttps://arxiv.org/abs/2306.15253 MindDial: Belief Dynamics Trackin..

https://arxiv.org/abs/2401.04536 Evaluating Language Model Agency through NegotiationsWe introduce an approach to evaluate language model (LM) agency using negotiation games. This approach better reflects real-world use cases and addresses some of the shortcomings of alternative LM benchmarks. Negotiation games enable us to study multi-turnarxiv.org 오 딱 제가 생각했던 Agent의 평가를 어떻게 해야 멀티턴에 적합하게, 벤치마크 ..

https://arxiv.org/abs/2410.14383 MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot NegotiationMulti-agent reinforcement learning is a key method for training multi-robot systems over a series of episodes in which robots are rewarded or punished according to their performance; only once the system is trained to a suitable standard is it deployed inarxiv.org 이 논문은 협상에..

이전 글에서 이어진다 하긴 애매하지만 제 정보를 저장해놓고 보기 편하게 하려고 만드는 저장소입니다...2024.12.10 - [인공지능/Agent] - Negotiation AI 1 정보의 싸" data-og-host="yoonschallenge.tistory.com" data-og-source-url="https://yoonschallenge.tistory.com/907" data-og-url="https://yoonschallenge.tistory.com/907" data-og-image="https://scrap.kakaocdn.net/dn/bLohT6/hyXKubelU7/khviVLBLaPUc18X8hbkCLk/img.png?width=800&height=464&face=0_0_800_464,ht..

https://arxiv.org/abs/2305.10142 Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackWe study whether multiple large language models (LLMs) can autonomously improve each other in a negotiation game by playing, reflecting, and criticizing. We are interested in this question because if LLMs were able to improve each other, it would imply thearxiv.org 음 여기선 이..

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4828339 The Advent of the AI Negotiator: Negotiation Dynamics in the Age of Smart AlgorithmsThe Advent of the AI Negotiator: Negotiation Dynamics in the Age of Smart Algorithms 26 Pages Posted: 15 May 2024 Date Written: May 15, 2024 Abstract Artificial Intelligence (AI) applications are increasingly used in negotiations. In this essay, I invest..

https://arxiv.org/abs/2402.05863 How Well Can LLMs Negotiate? NegotiationArena Platform and AnalysisNegotiation is the basis of social interactions; humans negotiate everything from the price of cars to how to share common resources. With rapidly growing interest in using large language models (LLMs) to act as agents on behalf of human users, such LLM agarxiv.org 음 이 논문은 그래도 LLM까지는 갔지만 LLM을 학습하거..

https://arxiv.org/abs/2402.13550 Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation DialoguesA successful negotiation requires a range of capabilities, including comprehension of the conversation context, Theory-of-Mind (ToM) skills to infer the partner's motives, strategic reasoning, and effective communication, making it challenging fo..