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Large language models (LLMs) have recently demonstrated remarkable capabilities across domains, tasks, and languages (e.g., ChatGPT and GPT-4), reviving the research of general autonomous agents with human-like cognitive abilities.
The opponent-process theory of acquired motivation: the costs of pleasure and the benefits of pain
Richard L Solomon · 1980
Earlier work this paper cites.
Dimensions of thought flow in everyday life
Eric Klinger and W Miles Cox · 1987
Earlier work this paper cites.
Development terminable and interminable. i. innate and motivational factors from infancy
Robert N Emde · 1988
Earlier work this paper cites.
A cognitive theory of consciousness
Bernard J Baars · 1993
Earlier work this paper cites.
The prefontral cortex and cognitive control
Earl K Miller · 2000
Earlier work this paper cites.
Why do we talk to ourselves?
Chris Fields · 2002
Earlier work this paper cites.
Task unrelated thought whilst encoding information
Jonathan M Smallwood, Simona F Baracaia, Michelle Lowe, and Marc Obonsawin · 2003
Earlier work this paper cites.
Neural basis of spontaneous thought processes
Kalina Christoff, Justin M Ream, and John DE Gabrieli · 2004
Earlier work this paper cites.
Out of one’s mind: A study of involuntary semantic memories
Lia Kvavilashvili and George Mandler · 2004
Earlier work this paper cites.
Global workspace theory of consciousness: toward a cognitive neuroscience of human experience
Bernard J Baars · 2005
Earlier work this paper cites.
Neurobiology of creativity
David Camfield · 2005
Earlier work this paper cites.
Where creativity resides: The generative power of unconscious thought
Ap Dijksterhuis and Teun Meurs · 2006
Earlier work this paper cites.
A core system for the implementation of task sets
Nico UF Dosenbach, Kristina M Visscher, Erica D Palmer, Francis M Miezin, Kristin K Wenger, Hyunseon C Kang, E Darcy Burgund, Ansley L Grimes, Bradley L Schlaggar, and Steven E Petersen · 2006
Earlier work this paper cites.
For whom the mind wanders, and when: An experience-sampling study of working memory and executive control in daily life
Michael J Kane, Leslie H Brown, Jennifer C McVay, Paul J Silvia, Inez Myin-Germeys, and Thomas R Kwapil · 2007
Earlier work this paper cites.
The brain’s default network: anatomy, function, and relevance to disease
Randy L Buckner, Jessica R Andrews-Hanna, and Daniel L Schacter · 2008
Earlier work this paper cites.
Dual-processing accounts of reasoning, judgment, and social cognition
Jonathan St BT Evans · 2008
Earlier work this paper cites.
Cera-cranium: A test bed for machine consciousness research
Raul Arrabales, Agapito Ledezma, and Araceli Sanchis · 2009
Earlier work this paper cites.
Researching imaginative play and adult consciousness: Implications for daily and literary creativity
Jerome L Singer · 2009
Earlier work this paper cites.
When is your head at? an exploration of the factors associated with the temporal focus of the wandering mind
Jonathan Smallwood, Louise Nind, and Rory C O’Connor · 2009
Earlier work this paper cites.
Dual-process and dual-system theories of reasoning
Keith Frankish · 2010
Earlier work this paper cites.
Modular and hierarchically modular organization of brain networks
David Meunier, Renaud Lambiotte, and Edward T Bullmore · 2010
Earlier work this paper cites.
The role of spontaneous thought in human cognition
Kalina Christoff, Alan Gordon, and Rachelle Smith · 2011
Earlier work this paper cites.
Mind-wandering: Phenomenology and function as assessed with a novel experience sampling method
David Stawarczyk, Steve Majerus, Michalina Maj, Martial Van der Linden, and Arnaud D’Argembeau · 2011
Earlier work this paper cites.
Undirected thought: neural determinants and correlates
Kalina Christoff · 2012
Earlier work this paper cites.
A review of long-term memory in natural and synthetic systems
Rachel Wood, Paul Baxter, and Tony Belpaeme · 2012
Cited alongside, same era.
Lida: A systems-level architecture for cognition, emotion, and learning
Stan Franklin, Tamas Madl, Sidney D’mello, and Javier Snaider · 2013
Cited alongside, same era.
Human motivation
Bernard Weiner · 2013
Cited alongside, same era.
The computational and neural basis of cognitive control: charted territory and new frontiers
Matthew M Botvinick and Jonathan D Cohen · 2014
Cited alongside, same era.
Working memory underpins cognitive development, learning, and education
Nelson Cowan · 2014
Cited alongside, same era.
Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, and Denny Zhou · 2022
Later among the works it cites.
React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2022
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Automatic chain of thought prompting in large language models
Zhuosheng Zhang, Aston Zhang, Mu Li, and Alex Smola · 2022
Later among the works it cites.
Sparks of artificial general intelligence: Early experiments with GPT-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
Later among the works it cites.
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The modular and integrative functional architecture of the human brain
Maxwell A Bertolero, BT Thomas Yeo, and Mark D’Esposito · 2015
Cited alongside, same era.
Understanding central processes: The case against simple stimulus-response associations and for complex task representation
Eliot Hazeltine and Eric H Schumacher · 2016
Cited alongside, same era.
Iuliia Kotseruba and John K Tsotsos · 2016
Cited alongside, same era.
Key-value memory networks for directly reading documents
Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston · 2016
Cited alongside, same era.
A standard model of the mind: Toward a common computational framework across artificial intelligence, cognitive science, neuroscience, and robotics
John E Laird, Christian Lebiere, and Paul S Rosenbloom · 2017
Cited alongside, same era.
Understanding motivation and emotion
Johnmarshall Reeve · 2018
Cited alongside, same era.
Xinyun Chen, Maxwell Lin, Nathanael Schärli, and Denny Zhou · 2023
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Langchain
hwchase17 · 2023
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Taskmatrix. ai: Completing tasks by connecting foundation models with millions of apis
Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, et al · 2023
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Large language model guided tree-of-thought
Jieyi Long · 2023
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Self-refine: Iterative refinement with self-feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, et al · 2023
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Nexusgpt
Nexus · 2023
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Chagpt plugins
OpenAI · 2023
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GPT-4 technical report, 2023
OpenAI · 2023
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Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph C O’Brien, Carrie J Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein · 2023
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Tool learning with foundation models
Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, et al · 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
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Synthetic prompting: Generating chain-of-thought demonstrations for large language models
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, and Weizhu Chen · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
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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Chatgpt for robotics: Design principles and model abilities
Sai Vemprala, Rogerio Bonatti, Arthur Bucker, and Ashish Kapoor · 2023
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Voyager: An open-ended embodied agent with large language models
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar · 2023
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Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, and Yitao Liang · 2023
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Visual chatgpt: Talking, drawing and editing with visual foundation models
Chenfei Wu, Shengming Yin, Weizhen Qi, Xiaodong Wang, Zecheng Tang, and Nan Duan · 2023
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Translating natural language to planning goals with large-language models
Yaqi Xie, Chen Yu, Tongyao Zhu, Jinbin Bai, Ze Gong, and Harold Soh · 2023
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