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Large language models (LLMs) have demonstrated remarkable advancements and have attracted significant efforts to develop LLMs into agents capable of executing intricate multi-step decision-making tasks beyond traditional NLP applications.
Rational choice functions and orderings1
K. Arrow · 1959
Earlier work this paper cites.
The proposed uscf rating system, its development, theory, and applications. chess life xxii (8): 242–247, 1967
AE Elo · 1967
Earlier work this paper cites.
Speech acts: An essay in the philosophy of language
J. Searle · 1969
Earlier work this paper cites.
Path independence, rationality, and social choice
C. Plott · 1973
Earlier work this paper cites.
The rating of chessplayers: Past and present
Arpad E Elo and Sam Sloan · 1978
Earlier work this paper cites.
Agents that reduce work and information overload
P. Maes · 1994
Earlier work this paper cites.
Intelligent agents: theory and practice
M. Wooldridge and N. Jennings · 1995
Earlier work this paper cites.
Is there an intelligent agent in your future? nature
J. Hendler · 1999
Earlier work this paper cites.
Choices, values, and frames
D. Kahneman and A. Tversky · 2000
Earlier work this paper cites.
Efficient selectivity and backup operators in monte-carlo tree search
Rémi Coulom · 2006
Earlier work this paper cites.
Bandit based monte-carlo planning
Levente Kocsis and Csaba Szepesvári · 2006
Earlier work this paper cites.
Optimization for machine learning
Suvrit Sra, Sebastian Nowozin, and Stephen J Wright · 2011
Earlier work this paper cites.
Prospect theory: An analysis of decision under risk
Daniel Kahneman and Amos Tversky · 2013
Earlier work this paper cites.
Webgpt: Browser-assisted question-answering with human feedback
Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, et al · 2021
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OpenAI: Introducing ChatGPT, 2022
OpenAI · 2022
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Agentgpt
AgentGPT · 2023
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Graph of thoughts: Solving elaborate problems with large language models
Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Michal Podstawski, Hubert Niewiadomski, Piotr Nyczyk, et al · 2023
Cited alongside, same era.
Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors
Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, et al · 2023
Cited alongside, same era.
Algorithm of thoughts: Enhancing exploration of ideas in large language models
Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Lu Wang, Ruoxi Jia, and Ming Jin · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface, 2023
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang · 2023
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Reflexion: Language agents with verbal reinforcement learning, 2023
Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2023
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Restgpt: Connecting large language models with real-world applications via restful apis
Yifan Song, Weimin Xiong, Dawei Zhu, Cheng Li, Ke Wang, Ye Tian, and Sujian Li · 2023
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Chatgpt for robotics: Design principles and model abilities
Sai Vemprala, Rogerio Bonatti, Arthur Bucker, and Ashish Kapoor · 2023
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Can large language models be an alternative to human evaluations?
Cheng-Han Chiang and Hung-yi Lee · 2023
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Visual programming: Compositional visual reasoning without training
Tanmay Gupta and Aniruddha Kembhavi · 2023
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Genegpt: Augmenting large language models with domain tools for improved access to biomedical information
Qiao Jin, Yifan Yang, Qingyu Chen, and Zhiyong Lu · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
Cited alongside, same era.
Cheng Qian, Chi Han, Yi R Fung, Yujia Qin, Zhiyuan Liu, and Heng Ji · 2023
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Auto-gpt: An autonomous gpt-4 experiment, 2023
Toran Bruce Richards · 2023
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Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models, 2023
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou · 2023
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Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, and Xindong Wu · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L Griffiths, Yuan Cao, and Karthik Narasimhan · 2023
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Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al · 2024
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Stabletoolbench: Towards stable large-scale benchmarking on tool learning of large language models
Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, and Yang Liu · 2024
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Codeact: Code adaptive compute-efficient tuning framework for code llms
Weijie Lv, Xuan Xia, and Sheng-Jun Huang · 2024
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Chatdev: Communicative agents for software development
Chen Qian, Wei Liu, Hongzhang Liu, Nuo Chen, Yufan Dang, Jiahao Li, Cheng Yang, Weize Chen, Yusheng Su, Xin Cong, et al · 2024
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