The Automated but Risky Game: Modeling and Benchmarking Agent-to-Agent Negotiations and Transactions in Consumer Markets

Perfect equilibrium in a bargaining model

Ariel Rubinstein. 1982 · 1982

Earlier work this paper cites.

Multiagent reinforcement learning with sparse interactions by negotiation and knowledge transfer

Luowei Zhou, Pei Yang, Chunlin Chen, and Yang Gao. 2016 · 1982

Earlier work this paper cites.

Zero-sum two-person games

TES Raghavan. 1994 · 1994

Earlier work this paper cites.

Games with incomplete information

John C Harsanyi. 1995 · 1995

Earlier work this paper cites.

Intelligent agents and consumer protection

Silvia Feliu. 2001 · 2001

Earlier work this paper cites.

Scaling laws for neural language models

Original

Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020 · 2001

Earlier work this paper cites.

Measuring massive multitask language understanding

Original

Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt. 2020 · 2009

Earlier work this paper cites.

Mastering business negotiation: a working guide to making deals and resolving conflict

Roy J Lewicki and Alexander Hiam. 2011 · 2011

Earlier work this paper cites.

Two decades of business negotiation research: an overview and suggestions for future studies

Henrik Agndal, Lars-Johan Åge, and Jens Eklinder-Frick. 2017 · 2017

Earlier work this paper cites.

Deal or no deal? end-to-end learning for negotiation dialogues

Original

Mike Lewis, Denis Yarats, Yann N Dauphin, Devi Parikh, and Dhruv Batra. 2017 · 2017

Earlier work this paper cites.

Decoupling strategy and generation in negotiation dialogues

Original

He He, Derek Chen, Anusha Balakrishnan, and Percy Liang. 2018 · 2018

Earlier work this paper cites.

Consumer law and artificial intelligence

Agnieszka Jabłonowska, Maciej Kuziemski, Anna Maria Nowak, Hans-W Micklitz, Przemysław Pałka, and Giovanni Sartor. 2018 · 2018

Earlier work this paper cites.

Rlboa: A modular reinforcement learning framework for autonomous negotiating agents

Jasper Bakker, Aron Hammond, Daan Bloembergen, and Tim Baarslag. 2019 · 2019

Earlier work this paper cites.

Ai-chatbots on the services frontline addressing the challenges and opportunities of agency

Terrence Chong, Ting Yu, Debbie Isobel Keeling, and Ko de Ruyter. 2021 · 2021

Earlier work this paper cites.

The ai-extended consumer: technology, consumer, country differences in the formation of demand for ai-empowered consumer products

Björn Frank, Boris Herbas-Torrico, and Shane J Schvaneveldt. 2021 · 2021

Earlier work this paper cites.

Measuring mathematical problem solving with the math dataset

Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, and Jacob Steinhardt. 2021 · 2021

Earlier work this paper cites.

Exploring the role of ai algorithmic agents: The impact of algorithmic decision autonomy on consumer purchase decisions

Yuejiao Fan and Xianggang Liu. 2022 · 2022

Cited alongside, same era.

Training compute-optimal large language models

Original

Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, and 1 others. 2022 · 2022

Cited alongside, same era.

Cooperation, competition, and maliciousness: Llm-stakeholders interactive negotiation

Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, and Mario Fritz. 2024 · 2024

Cited alongside, same era.

Deepseek llm: Scaling open-source language models with longtermism

Original

Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, and 1 others. 2024 · 2024

Cited alongside, same era.

How well can llms negotiate? negotiationarena platform and analysis

Theagentcompany: benchmarking llm agents on consequential real world tasks

Original

Frank F Xu, Yufan Song, Boxuan Li, Yuxuan Tang, Kritanjali Jain, Mengxue Bao, Zora Z Wang, Xuhui Zhou, Zhitong Guo, Murong Cao, and 1 others. 2024 · 2024

Later among the works it cites.

When scaling meets llm finetuning: The effect of data, model and finetuning method

Original

Biao Zhang, Zhongtao Liu, Colin Cherry, and Orhan Firat. 2024 · 2024

Later among the works it cites.

Why do multi-agent llm systems fail?

Original

Mert Cemri, Melissa Z Pan, Shuyi Yang, Lakshya A Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya Parameswaran, Dan Klein, Kannan Ramchandran, and 1 others. 2025 · 2025

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Position: Standard benchmarks fail–llm agents present overlooked risks for financial applications

Original

Zichen Chen, Jiaao Chen, Jianda Chen, and Misha Sra. 2025 · 2025

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