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In recent years, AI has demonstrated remarkable capabilities in simulating human behaviors, particularly those implemented with large language models (LLMs).
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
Earlier work this paper cites.
Personalized dialogue generation with diversified traits
Yinhe Zheng, Guanyi Chen, Minlie Huang, Song Liu, and Xuan Zhu. 2019 · 1901
Earlier work this paper cites.
Do massively pretrained language models make better storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, and Christopher D Manning. 2019 · 1909
Earlier work this paper cites.
Interactions, relationships and social structure
Robert A Hinde. 1976 · 1976
Earlier work this paper cites.
Social network analysis: methods and applications
S Wasserman. 1994 · 1994
Earlier work this paper cites.
Intelligent agents: Theory and practice
Michael Wooldridge and Nicholas R Jennings. 1995 · 1995
Earlier work this paper cites.
Is it an agent, or just a program?: A taxonomy for autonomous agents
Stan Franklin and Art Graesser. 1996 · 1996
Earlier work this paper cites.
Human conversational behavior
Robin IM Dunbar, Anna Marriott, and Neil DC Duncan. 1997 · 1997
Earlier work this paper cites.
Human-level ai’s killer application: Interactive computer games
John Laird and Michael VanLent. 2001 · 2001
Earlier work this paper cites.
The mismeasure of desire: The science, theory, and ethics of sexual orientation
Edward Stein. 2001 · 2001
Earlier work this paper cites.
Socjologia
Piotr Sztompka. 2002 · 2002
Earlier work this paper cites.
On making believable emotional agents believable
Andrew Ortony et al. 2003 · 2003
Earlier work this paper cites.
Tutorial on agent-based modeling and simulation
Charles M Macal and Michael J North. 2005 · 2005
Earlier work this paper cites.
Encyclopedia of race, ethnicity, and society , volume 1
Richard T Schaefer. 2008 · 2008
Earlier work this paper cites.
Social role theory
Alice H Eagly and Wendy Wood. 2012 · 2012
Earlier work this paper cites.
Race as a bundle of sticks: Designs that estimate effects of seemingly immutable characteristics
Maya Sen and Omar Wasow. 2016 · 2016
Earlier work this paper cites.
A survey of preference-based reinforcement learning methods
Christian Wirth, Riad Akrour, Gerhard Neumann, Johannes Fürnkranz, et al. 2017 · 2017
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Personalizing dialogue agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
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Learning to summarize with human feedback
Nisan Stiennon, Long Ouyang, Jeffrey Wu, Daniel Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul F Christiano. 2020 · 2020
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A pre-training based personalized dialogue generation model with persona-sparse data
Yinhe Zheng, Rongsheng Zhang, Minlie Huang, and Xiaoxi Mao. 2020 · 2020
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Towards reasoning in large language models: A survey
Jie Huang and Kevin Chen-Chuan Chang. 2022 · 2022
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Is chatgpt a highly fluent grammatical error correction system? a comprehensive evaluation
Tao Fang, Shu Yang, Kaixin Lan, Derek F Wong, Jinpeng Hu, Lidia S Chao, and Yue Zhang. 2023 · 2023
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Peacok: Persona commonsense knowledge for consistent and engaging narratives
Silin Gao, Beatriz Borges, Soyoung Oh, Deniz Bayazit, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, and Antoine Bosselut. 2023 · 2023
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Evaluating large language models in generating synthetic hci research data: a case study
Perttu Hämäläinen, Mikke Tavast, and Anton Kunnari. 2023 · 2023
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Large language models as simulated economic agents: What can we learn from homo silicus?
John J Horton. 2023 · 2023
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Chatgpt an enfj, bard an istj: Empirical study on personalities of large language models
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Social simulacra: Creating populated prototypes for social computing systems
Joon Sung Park, Lindsay Popowski, Carrie Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2022 · 2022
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Ignore previous prompt: Attack techniques for language models
Fábio Perez and Ian Ribeiro. 2022 · 2022
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Measuring and narrowing the compositionality gap in language models
Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A Smith, and Mike Lewis. 2022 · 2022
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Towards understanding chain-of-thought prompting: An empirical study of what matters
Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, and Huan Sun. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
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Using large language models to simulate multiple humans and replicate human subject studies
Gati V Aher, Rosa I Arriaga, and Adam Tauman Kalai. 2023 · 2023
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Out of one, many: Using language models to simulate human samples
Lisa P Argyle, Ethan C Busby, Nancy Fulda, Joshua R Gubler, Christopher Rytting, and David Wingate. 2023 · 2023
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Jen-tse Huang, Wenxuan Wang, Man Ho Lam, Eric John Li, Wenxiang Jiao, and Michael R Lyu. 2023 · 2023
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Lyfe agents: Generative agents for low-cost real-time social interactions
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The socialai school: Insights from developmental psychology towards artificial socio-cultural agents
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Lost in the middle: How language models use long contexts
Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. 2023 · 2023
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Generative agents: Interactive simulacra of human behavior
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Communicative agents for software development
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Can chatgpt assess human personalities? a general evaluation framework
Haocong Rao, Cyril Leung, and Chunyan Miao. 2023 · 2023
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Character-llm: A trainable agent for role-playing
Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu. 2023 · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
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Siren’s song in the ai ocean: a survey on hallucination in large language models
Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, et al. 2023 · 2023
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