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The powerful reasoning capabilities of large language models (LLMs) have brought revolutionary changes to many fields, but their performance in human behaviour generation has not yet been extensively explored.
The theory of planned behavior
Icek Ajzen · 1991
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The scaling laws of human travel
Dirk Brockmann, Lars Hufnagel, and Theo Geisel · 2006
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Household travel surveys: Where are we going?
Peter R Stopher and Stephen P Greaves · 2007
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Understanding individual human mobility patterns
Marta C Gonzalez, Cesar A Hidalgo, and Albert-Laszlo Barabasi · 2008
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Geolife: A collaborative social networking service among user, location and trajectory
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Modelling the scaling properties of human mobility
Chaoming Song, Tal Koren, Pu Wang, and Albert-László Barabási · 2010
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Unique in the shopping mall: On the reidentifiability of credit card metadata
Yves-Alexandre De Montjoye, Laura Radaelli, Vivek Kumar Singh, and Alex “Sandy” Pentland · 2015
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The timegeo modeling framework for urban mobility without travel surveys
Shan Jiang, Yingxiang Yang, Siddharth Gupta, Daniele Veneziano, Shounak Athavale, and Marta C González · 2016
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Point-of-interest demand modeling with human mobility patterns
Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, and Hui Xiong · 2017
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Trajectory recovery from ash: User privacy is not preserved in aggregated mobility data
Fengli Xu, Zhen Tu, Yong Li, Pengyu Zhang, Xiaoming Fu, and Depeng Jin · 2017
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Learning to simulate human mobility
Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, and Yong Li · 2020
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Gpt-3: Its nature, scope, limits, and consequences
Luciano Floridi and Massimo Chiriatti · 2020
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Using gans for sharing networked time series data: Challenges, initial promise, and open questions
Zinan Lin, Alankar Jain, Chen Wang, Giulia Fanti, and Vyas Sekar · 2020
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Emergence of urban growth patterns from human mobility behavior
Fengli Xu, Yong Li, Depeng Jin, Jianhua Lu, and Chaoming Song · 2021
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A survey on deep learning for human mobility
Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, and Luca Pappalardo · 2021
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Strategic covid-19 vaccine distribution can simultaneously elevate social utility and equity
Lin Chen, Fengli Xu, Zhenyu Han, Kun Tang, Pan Hui, James Evans, and Yong Li · 2022
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Activity trajectory generation via modeling spatiotemporal dynamics
Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, and Yong Li · 2022
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
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Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein · 2023
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Communicative agents for software development
Chen Qian, Xin Cong, Cheng Yang, Weize Chen, Yusheng Su, Juyuan Xu, Zhiyuan Liu, and Maosong Sun · 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
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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
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Role play with large language models
Murray Shanahan, Kyle McDonell, and Laria Reynolds · 2023
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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
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Learning to simulate daily activities via modeling dynamic human needs
Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, and Yong Li · 2023
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Pategail: a privacy-preserving mobility trajectory generator with imitation learning
Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, and Yong Li · 2023
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Practical synthetic human trajectories generation based on variational point processes
Qingyue Long, Huandong Wang, Tong Li, Lisi Huang, Kun Wang, Qiong Wu, Guangyu Li, Yanping Liang, Li Yu, and Yong Li · 2023
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Difftraj: Generating gps trajectory with diffusion probabilistic model
Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, and James Yu · 2023
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Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al · 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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Using large language models to simulate multiple humans and replicate human subject studies
Gati V Aher, Rosa I Arriaga, and Adam Tauman Kalai · 2023
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Thilo Hagendorff and Sarah Fabi · 2023
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Large language models show human-like content biases in transmission chain experiments
Alberto Acerbi and Joseph M Stubbersfield · 2023
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Whose opinions do language models reflect?
Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto · 2023
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Introducing meta llama 3: The most capable openly available llm to date, 2024
Meta · 2024
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Act2loc: a synthetic trajectory generation method by combining machine learning and mechanistic models
Kang Liu, Xin Jin, Shifen Cheng, Song Gao, Ling Yin, and Feng Lu · 2024
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Generating daily activities with need dynamics
Yuan Yuan, Jingtao Ding, Huandong Wang, and Depeng Jin · 2024
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