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Benefiting from the powerful capabilities of large language models (LLMs), agents based on LLMs have shown the potential to address domain-specific tasks and emulate human behaviors.
A spreading activation theory of memory
Anderson; and R, J. 1983 · 1983
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Thinking styles in teaching inventory
Grigorenko, E.; and Sternberg, R. 1993 · 1993
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The Big-Five trait taxonomy: History, measurement, and theoretical perspectives
John, O. P.; Srivastava, S.; et al. 1999 · 1999
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Agent based social simulation: A computer science view
Davidsson; and Paul. 2002 · 2002
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Index of learning styles questionnaire
Soloman, B. A.; and Felder, R. M. 2005 · 2010
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Enhanced education by using intelligent agents in multi-agent adaptive e-learning systems
Alexandru, A.; Tirziu, E.; Tudora, E.; and Bica, O. 2015 · 2015
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Human Emotional Behavior Simulation in Intelligent Agents: Processes and Architecture
Mara Pudane, E. L.; and Radin, M. A. 2017 · 2016
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Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation
Qian, Q.; Huang, M.; Zhao, H.; Xu, J.; and Zhu, X. 2018 · 2018
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Socially situated artificial intelligence enables learning from human interaction
Krishna, R.; Lee, D.; Fei-Fei, L.; and Bernstein, M. S. 2022 · 2022
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Social Simulacra: Creating Populated Prototypes for Social Computing Systems
Park, J. S.; Popowski, L.; Cai, C.; Morris, M. R.; Liang, P.; and Bernstein, M. S. 2022 · 2022
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Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Aher, G. V.; Arriaga, R. I.; and Kalai, A. T. 2023 · 2023
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Out of one, many: Using language models to simulate human samples
Argyle, L. P.; Busby, E. C.; Fulda, N.; Gubler, J. R.; Rytting, C.; and Wingate, D. 2023 · 2023
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ChemCrow: Augmenting large-language models with chemistry tools
Bran, A. M.; Cox, S.; White, A. D.; and Schwaller, P. 2023 · 2023
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DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents
Nair, V.; Schumacher, E.; Tso, G.; and Kannan, A. 2023 · 2023
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OpenAI. Introducing chatgpt
OpenAI. 2022 · 2023
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OpenAI. 2023 · 2023
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Generative Agents: Interactive Simulacra of Human Behavior
Park, J. S.; O’Brien, J. C.; Cai, C. J.; Morris, M. R.; Liang, P.; and Bernstein, M. S. 2023 · 2023
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Measuring and Narrowing the Compositionality Gap in Language Models
Press, O.; Zhang, M.; Min, S.; Schmidt, L.; Smith, N. A.; and Lewis, M. 2023 · 2023
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Jiang, H.; Zhang, X.; Cao, X.; and Kabbara, J. 2023 · 2023
Cited alongside, same era.
CAMEL: Communicative Agents for ”Mind” Exploration of Large Scale Language Model Society
Li, G.; Hammoud, H. A. A. K.; Itani, H.; Khizbullin, D.; and Ghanem, B. 2023 · 2023
Cited alongside, same era.
GPTeach: Interactive TA Training with GPT Based Students
Markel, J. M.; Opferman, S. G.; Landay, J. A.; and Piech, C. 2023 · 2023
Cited alongside, same era.
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
Wang, L.; Xu, W.; Lan, Y.; Hu, Z.; Lan, Y.; Lee, R. K.-W.; and Lim, E.-P. 2023a
Cited in the paper.
Wang, Z.; Cai, S.; Liu, A.; Ma, X.; and Liang, Y. 2023b
Cited in the paper.
Wang, Z.; Mao, S.; Wu, W.; Ge, T.; Wei, F.; and Ji, H. 2023c
Cited in the paper.
Communicative Agents for Software Development
Qian, C.; Cong, X.; Yang, C.; Chen, W.; Su, Y.; Xu, J.; Liu, Z.; and Sun, M. 2023 · 2023
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LLM-powered Autonomous Agents
Weng and Lilian. 2023 · 2023
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ReAct: Synergizing Reasoning and Acting in Language Models
Yao, S.; Zhao, J.; Yu, D.; Du, N.; Shafran, I.; Narasimhan, K.; and Cao, Y. 2023 · 2023
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