How well can llms negotiate? negotiationarena platform and analysis

[PDF] arxiv.org

Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning

T Zhang, C Huang, Y Deng, H Liang, J Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
We investigate non-collaborative dialogue agents that must engage in tailored strategic
planning for diverse users to secure a favorable agreement. This poses challenges for …
被引用次数：4 相关文章 所有 2 个版本
[PDF] arxiv.org

Dialogue Action Tokens: Steering Language Models in Goal-Directed Dialogue with a Multi-Turn Planner

K Li, Y Wang, F Viégas, M Wattenberg - arXiv preprint arXiv:2406.11978, 2024 - arxiv.org
We present an approach called Dialogue Action Tokens (DAT) that adapts language model
agents to plan goal-directed dialogues. The core idea is to treat each utterance as an action …
相关文章
[PDF] arxiv.org

Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy

Z Guan, X Kong, F Zhong, Y Wang - arXiv preprint arXiv:2407.06813, 2024 - arxiv.org
Diplomacy is one of the most sophisticated activities in human society. The complex
interactions among multiple parties/agents involve various abilities like social reasoning …
相关文章 所有 2 个版本
[PDF] arxiv.org

Language Model Council: Benchmarking Foundation Models on Highly Subjective Tasks by Consensus

J Zhao, FM Plaza-del-Arco, AC Curry - arXiv preprint arXiv:2406.08598, 2024 - arxiv.org
The rapid advancement of Large Language Models (LLMs) necessitates robust and
challenging benchmarks. Leaderboards like Chatbot Arena rank LLMs based on how well …
相关文章 所有 2 个版本
[PDF] arxiv.org

GLEE: A Unified Framework and Benchmark for Language-based Economic Environments

E Shapira, O Madmon, I Reinman, SJ Amouyal… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) show significant potential in economic and strategic
interactions, where communication via natural language is often prevalent. This raises key …
相关文章
[PDF] arxiv.org

STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making

C Li, R Yang, T Li, M Bafarassat, K Sharifi… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) like GPT-4 have revolutionized natural language
processing, showing remarkable linguistic proficiency and reasoning capabilities. However …
被引用次数：1 相关文章 所有 7 个版本
[PDF] arxiv.org

Modelling Political Coalition Negotiations Using LLM-based Agents

F Moghimifar, YF Li, R Thomson, G Haffari - arXiv preprint arXiv …, 2024 - arxiv.org
Coalition negotiations are a cornerstone of parliamentary democracies, characterised by
complex interactions and strategic communications among political parties. Despite its …
被引用次数：2 相关文章 所有 2 个版本

Leveraging Generative Large Language Models for Optimizing Sales Arguments Creation: An Evaluation of GPT-4 Capabilities.

M Elhissoufi, EH Nfaoui, L Alla… - International Journal of …, 2024 - search.ebscohost.com
A new era in Generative Artificial Intelligence has begun with the release of powerful Large
Language Models (LLMs). These models have shown significant potential in marketing …
相关文章
[PDF] arxiv.org

ACE: A LLM-based Negotiation Coaching System

R Shea, A Kallala, XL Liu, MW Morris, Z Yu - arXiv preprint arXiv …, 2024 - arxiv.org
The growing prominence of LLMs has led to an increase in the development of AI tutoring
systems. These systems are crucial in providing underrepresented populations with …
相关文章 所有 2 个版本
[PDF] arxiv.org

Evolution of Social Norms in LLM Agents using Natural Language

I Horiguchi, T Yoshida, T Ikegami - arXiv preprint arXiv:2409.00993, 2024 - arxiv.org
Recent advancements in Large Language Models (LLMs) have spurred a surge of interest
in leveraging these models for game-theoretical simulations, where LLMs act as individual …
相关文章 所有 2 个版本