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Recent interest in human-AI interactions in agent-based modeling and simulation (ABMS) has grown rapidly due to the widespread utilization of large language models (LLMs).
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
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From Factors to Actors: Computational Sociology and Agent-Based Modeling
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Agent-based social simulation: dealing with complexity
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MASON: A Multiagent Simulation Environment
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Agent-Based Participatory Simulations: Merging Multi-Agent Systems and Role-Playing Games
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Agent-based Simulation Platforms: Review and Development Recommendations
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Review of software platforms for agent based models
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A Survey of Agent-Based Modeling Practices (January 1998 to July 2008)
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Users of the world, unite! The challenges and opportunities of Social Media
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Creating Dynamic Story Plots with Continual Multiagent Planning
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Modeling human decisions in coupled human and natural systems: Review of agent-based models
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Prom Week: social physics as gameplay. In Proceedings of the 6th International Conference on Foundations of Digital Games (Bordeaux, France) (FDG ’11) . Association for Computing Machinery, New York, NY, USA, 319–321
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The role of agent-based models in wildlife ecology and management
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A multi-assets artificial stock market with zero-intelligence traders
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Social network analysis and agent-based modeling in social epidemiology
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Impact of urban planning on household’s residential decisions: An agent-based simulation model for Vienna
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Agent-based macroeconomics: A baseline model
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Prom week. In Proceedings of the International Conference on the Foundations of Digital Games (Raleigh, North Carolina) (FDG ’12) . Association for Computing Machinery, New York, NY, USA, 235–237
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Andrei Borshchev. 2014 · 2014
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On agent-based modeling and computational social science
Rosaria Conte and Mario Paolucci. 2014 · 2014
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Large-Scale Multi-agent-Based Modeling and Simulation of Microblogging-Based Online Social Network. In Multi-Agent-Based Simulation XIV (Lecture Notes in Computer Science) , Shah Jamal Alam and H. Van Dyke Parunak (Eds.). Springer, Berlin, Heidelberg, 17–33
Maíra Gatti, Paulo Cavalin, Samuel Barbosa Neto, Claudio Pinhanez, Cícero dos Santos, Daniel Gribel, and Ana Paula Appel. 2014 · 2014
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A systems approach to healthcare: Agent-based modeling, community mental health, and population well-being
Barry G. Silverman, Nancy Hanrahan, Gnana Bharathy, Kim Gordon, and Dan Johnson. 2015 · 2014
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Agent-Based Modelling in Economics
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Behavior Trees for Modelling Artificial Intelligence in Games: A Tutorial
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Multi-Agent Systems: A Survey
Ali Dorri, Salil S. Kanhere, and Raja Jurdak. 2018 · 2018
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Big data, agents, and machine learning: towards a data-driven agent-based modeling approach. In Proceedings of the Annual Simulation Symposium (Baltimore, Maryland) (ANSS ’18) . Society for Computer Simulation International, San Diego, CA, USA, Article 12, 12 pages
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5Ws 1H: A technique to improve Project Management Efficiencies
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Agent-based models in financial market studies
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Grandmaster level in StarCraft II using multi-agent reinforcement learning
Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander S. Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom L. Paine, Caglar Gulcehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, and David Silver. 2019 · 2019
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Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 1877–1901
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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Learning to Simulate Human Mobility. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Virtual Event, CA, USA) (KDD ’20) . Association for Computing Machinery, New York, NY, USA, 3426–3433
Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang, and Yong Li. 2020 · 2020
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COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions
Petrônio C.L. Silva, Paulo V.C. Batista, Hélder S. Lima, Marcos A. Alves, Frederico G. Guimarães, and Rodrigo C.P. Silva. 2020 · 2020
Cited alongside, same era.
Covasim: An agent-based model of COVID-19 dynamics and interventions
Cliff C. Kerr, Robyn M. Stuart, Dina Mistry, Romesh G. Abeysuriya, Katherine Rosenfeld, Gregory R. Hart, Rafael C. Núñez, Jamie A. Cohen, Prashanth Selvaraj, Brittany Hagedorn, Lauren George, Michał Jastrzębski, Amanda S. Izzo, Greer Fowler, Anna Palmer, Dominic Delport, Nick Scott, Sherrie L. Kelly, Caroline S. Bennette, Bradley G. Wagner, Stewart T. Chang, Assaf P. Oron, Edward A. Wenger, Jasmina Panovska-Griffiths, Michael Famulare, and Daniel J. Klein. 2021 · 2021
Cited alongside, same era.
Gender and Representation Bias in GPT-3 Generated Stories. In Proceedings of the Third Workshop on Narrative Understanding , Nader Akoury, Faeze Brahman, Snigdha Chaturvedi, Elizabeth Clark, Mohit Iyyer, and Lara J. Martin (Eds.). Association for Computational Linguistics, Virtual, 48–55
Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Personalization
Swarnadeep Saha, Peter Hase, and Mohit Bansal. 2023 · 2023
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Epidemic Modeling with Generative Agents
Ross Williams, Niyousha Hosseinichimeh, Aritra Majumdar, and Navid Ghaffarzadegan. 2023 · 2023
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The Rise and Potential of Large Language Model Based Agents: A Survey
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, and Tao Gui. 2023 · 2023
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Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment
Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, and Yong Li. 2023 · 2023
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Li Lucy and David Bamman. 2021 · 2021
Cited alongside, same era.
Interactive Narrative: A Novel Application of Artificial Intelligence for Computer Games
Mark Riedl and Vadim Bulitko. 2021 · 2021
Cited alongside, same era.
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi. In Advances in Neural Information Processing Systems , M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, and J. Wortman Vaughan (Eds.), Vol. 34. Curran Associates, Inc., 16183–16195
Ho Chit Siu, Jaime Peña, Edenna Chen, Yutai Zhou, Victor Lopez, Kyle Palko, Kimberlee Chang, and Ross Allen. 2021 · 2021
Cited alongside, same era.
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Chuyuan Fu, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan, and Andy Zeng. 2022 · 2022
Cited alongside, same era.
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, and Percy Liang. 2022 · 2022
Cited alongside, same era.
Human-level play in the game of <i>Diplomacy</i> by combining language models with strategic reasoning
Meta Fundamental AI Research Diplomacy Team (FAIR)†, Anton Bakhtin, Noam Brown, Emily Dinan, Gabriele Farina, Colin Flaherty, Daniel Fried, Andrew Goff, Jonathan Gray, Hengyuan Hu, Athul Paul Jacob, Mojtaba Komeili, Karthik Konath, Minae Kwon, Adam Lerer, Mike Lewis, Alexander H. Miller, Sasha Mitts, Adithya Renduchintala, Stephen Roller, Dirk Rowe, Weiyan Shi, Joe Spisak, Alexander Wei, David Wu, Hugh Zhang, and Markus Zijlstra. 2022 · 2022
Cited alongside, same era.
Inner Monologue: Embodied Reasoning through Planning with Language Models
Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, and Brian Ichter. 2022 · 2022
Cited alongside, same era.
Socially situated artificial intelligence enables learning from human interaction
Ranjay Krishna, Donsuk Lee, Li Fei-Fei, and Michael S. Bernstein. 2022 · 2022
Cited alongside, same era.
Social Simulacra: Creating Populated Prototypes for Social Computing Systems. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (Bend, OR, USA) (UIST ’22) . Association for Computing Machinery, New York, NY, USA, Article 74, 18 pages
Joon Sung Park, Lindsay Popowski, Carrie Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. 2022 · 2022
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Tree of Thoughts: Deliberate Problem Solving with Large Language Models. In Advances in Neural Information Processing Systems , A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, and S. Levine (Eds.), Vol. 36. Curran Associates, Inc., 11809–11822
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan. 2023 · 2023
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Yue Zhang, Leyang Cui, Deng Cai, Xinting Huang, Tao Fang, and Wei Bi. 2023 · 2023
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Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, and Jifeng Dai. 2023 · 2023
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"I don’t know how to help with that" - Learning from Limitations of Modern Conversational Agent Systems in Caregiving Networks
Tamara Zubatiy, Niharika Mathur, Larry Heck, Kayci L. Vickers, Agata Rozga, and Elizabeth D. Mynatt. 2023 · 2023
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Riku Arakawa, Hiromu Yakura, and Mayank Goel. 2024 · 2024
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More than Task Performance: Developing New Criteria for Successful Human-AI Teaming Using the Cooperative Card Game Hanabi. In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA ’24) . Association for Computing Machinery, New York, NY, USA, Article 245, 11 pages
Christiane Attig, Patricia Wollstadt, Tim Schrills, Thomas Franke, and Christiane B. Wiebel-Herboth. 2024 · 2024
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Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 141, 18 pages
John Chen, Xi Lu, Yuzhou Du, Michael Rejtig, Ruth Bagley, Mike Horn, and Uri Wilensky. 2024 · 2024
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Digital Forms for All: A Holistic Multimodal Large Language Model Agent for Health Data Entry
Andrea Cuadra, Justine Breuch, Samantha Estrada, David Ihim, Isabelle Hung, Derek Askaryar, Marwan Hassanien, Kristen L. Fessele, and James A. Landay. 2024 · 2024
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Designing Conversational Agents to Support Student Teacher Learning in Virtual Reality Simulation: A Case Study. In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA ’24) . Association for Computing Machinery, New York, NY, USA, Article 513, 8 pages
Chih-Pu Dai, Fengfeng Ke, Nuodi Zhang, Alex Barrett, Luke West, Saptarshi Bhowmik, Sherry A. Southerland, and Xin Yuan. 2024 · 2024
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A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration. In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA ’24) . Association for Computing Machinery, New York, NY, USA, Article 24, 11 pages
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ChatIoT: Zero-code Generation of Trigger-action Based IoT Programs
Yi Gao, Kaijie Xiao, Fu Li, Weifeng Xu, Jiaming Huang, and Wei Dong. 2024b · 2024
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MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Ceyao Zhang, Jinlin Wang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, and Jürgen Schmidhuber. 2024 · 2024
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War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars
Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, and Yongfeng Zhang. 2024 · 2024
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The Sound of Support: Gendered Voice Agent as Support to Minority Teammates in Gender-Imbalanced Team. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 877, 22 pages
Angel Hsing-Chi Hwang and Andrea Stevenson Won. 2024 · 2024
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Cooking With Agents: Designing Context-aware Voice Interaction. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 551, 13 pages
Razan Jaber, Sabrina Zhong, Sanna Kuoppamäki, Aida Hosseini, Iona Gessinger, Duncan P Brumby, Benjamin R. Cowan, and Donald Mcmillan. 2024 · 2024
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Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 652, 28 pages
Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, and Juho Kim. 2024a · 2024
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Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models
Evan King, Haoxiang Yu, Sangsu Lee, and Christine Julien. 2024 · 2024
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PeerGPT: Probing the Roles of LLM-based Peer Agents as Team Moderators and Participants in Children’s Collaborative Learning. In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA ’24) . Association for Computing Machinery, New York, NY, USA, Article 263, 6 pages
Jiawen Liu, Yuanyuan Yao, Pengcheng An, and Qi Wang. 2024a · 2024
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ClassMeta: Designing Interactive Virtual Classmate to Promote VR Classroom Participation. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 659, 17 pages
Ziyi Liu, Zhengzhe Zhu, Lijun Zhu, Enze Jiang, Xiyun Hu, Kylie A Peppler, and Karthik Ramani. 2024c · 2024
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AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems
Jiaying Lu, Bo Pan, Jieyi Chen, Yingchaojie Feng, Jingyuan Hu, Yuchen Peng, and Wei Chen. 2024b · 2024
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ALYMPICS: LLM Agents Meet Game Theory – Exploring Strategic Decision-Making with AI Agents
Shaoguang Mao, Yuzhe Cai, Yan Xia, Wenshan Wu, Xun Wang, Fengyi Wang, Tao Ge, and Furu Wei. 2024 · 2024
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Nikhil Mehta, Milagro Teruel, Patricio Figueroa Sanz, Xin Deng, Ahmed Hassan Awadallah, and Julia Kiseleva. 2024 · 2024
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AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration
Bo Pan, Jiaying Lu, Ke Wang, Li Zheng, Zhen Wen, Yingchaojie Feng, Minfeng Zhu, and Wei Chen. 2024 · 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, Juyuan Xu, Dahai Li, Zhiyuan Liu, and Maosong Sun. 2024 · 2024
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Creating a large language model of a philosopher
Eric Schwitzgebel, David Schwitzgebel, and Anna Strasser. 2024 · 2024
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Rehearsal: Simulating Conflict to Teach Conflict Resolution. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 920, 20 pages
Omar Shaikh, Valentino Emil Chai, Michele Gelfand, Diyi Yang, and Michael S. Bernstein. 2024 · 2024
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Conversational Localization: Indoor Human Localization through Intelligent Conversation
Smitha Sheshadri and Kotaro Hara. 2024 · 2024
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Text2AC: A Framework for Game-Ready 2D Agent Character(AC) Generation from Natural Language. In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA ’24) . Association for Computing Machinery, New York, NY, USA, Article 312, 7 pages
Qirui Sun, Qiaoyang Luo, Yunyi Ni, and Haipeng Mi. 2024 · 2024
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Building LLM-based AI Agents in Social Virtual Reality. In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA ’24) . Association for Computing Machinery, New York, NY, USA, Article 65, 7 pages
Hongyu Wan, Jinda Zhang, Abdulaziz Arif Suria, Bingsheng Yao, Dakuo Wang, Yvonne Coady, and Mirjana Prpa. 2024 · 2024
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A survey on large language model based autonomous agents
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, and Jirong Wen. 2024a · 2024
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CrowdBot: An Open-Environment Robot Management System for On-Campus Services
Yufei Wang, Wenting Zeng, Changzhen Liu, Zhuohan Ye, Jiawei Sun, Junxiang Ji, Zhihan Jiang, Xianyi Yan, Yongyi Wu, Yigao Wang, Dingqi Yang, Leye Wang, Daqing Zhang, Cheng Wang, and Longbiao Chen. 2024b · 2024
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ChatCam: Embracing LLMs for Contextual Chatting-to-Camera with Interest-Oriented Video Summarization
Kaijie Xiao, Yi Gao, Fu Li, Weifeng Xu, Pengzhi Chen, and Wei Dong. 2024 · 2024
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DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge
Bufang Yang, Siyang Jiang, Lilin Xu, Kaiwei Liu, Hai Li, Guoliang Xing, Hongkai Chen, Xiaofan Jiang, and Zhenyu Yan. 2024 · 2024
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LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples
Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Mu-Nan Ning, Yu-Yang Liu, and Li Yuan. 2024 · 2024
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See Widely, Think Wisely: Toward Designing a Generative Multi-agent System to Burst Filter Bubbles. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 484, 24 pages
Yu Zhang, Jingwei Sun, Li Feng, Cen Yao, Mingming Fan, Liuxin Zhang, Qianying Wang, Xin Geng, and Yong Rui. 2024d · 2024
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Understanding Nonlinear Collaboration between Human and AI Agents: A Co-design Framework for Creative Design. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 170, 16 pages
Jiayi Zhou, Renzhong Li, Junxiu Tang, Tan Tang, Haotian Li, Weiwei Cui, and Yingcai Wu. 2024a · 2024
Later among the works it cites.
TEACh: Task-Driven Embodied Agents That Chat
Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gokhan Tur, and Dilek Hakkani-Tur. 2022 · 2025
Closest in time.