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The emergence of large language models (LLMs) has significantly advanced the simulation of believable interactive agents.
Case-based reasoning: A research paradigm
Stephen Slade · 1991
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Reinforcement learning: A survey
Leslie Pack Kaelbling, Michael L Littman, and Andrew W Moore · 1996
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Principles and methods of testing finite state machines-a survey
David Lee and Mihalis Yannakakis · 1996
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Human-level ai’s killer application: Interactive computer games
John Laird and Michael VanLent · 2001
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A survey on case-based planning
Luca Spalzzi · 2001
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Comme il faut: A system for authoring playable social models
Joshua McCoy, Mike Treanor, Ben Samuel, Noah Wardrip-Fruin, and Michael Mateas · 2011
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Human-level control through deep reinforcement learning
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Mind-wandering as spontaneous thought: a dynamic framework
Kalina Christoff, Zachary C Irving, Kieran CR Fox, R Nathan Spreng, and Jessica R Andrews-Hanna · 2016
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Mind-wandering with and without intention
Paul Seli, Evan F Risko, Daniel Smilek, and Daniel L Schacter · 2016
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Bilateral multi-perspective matching for natural language sentences
Zhiguo Wang, Wael Hamza, and Radu Florian · 2017
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Behavior trees in robotics and AI: An introduction
Michele Colledanchise and Petter Ögren · 2018
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Virtualhome: Simulating household activities via programs
Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, and Antonio Torralba · 2018
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A Variational Basis for the Regulation and Structuration Mechanisms of Agent Societies
Antônio Carlos da Rocha Costa · 2019
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Coqa: A conversational question answering challenge
Siva Reddy, Danqi Chen, and Christopher D Manning · 2019
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A survey on recognizing textual entailment as an nlp evaluation
Adam Poliak · 2020
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Watch-and-help: A challenge for social perception and human-ai collaboration
Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B Tenenbaum, Sanja Fidler, and Antonio Torralba · 2020
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Webgpt: Browser-assisted question-answering with human feedback
Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, et al · 2021
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Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
Wenlong Huang, Pieter Abbeel, Deepak Pathak, and Igor Mordatch · 2022
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Minerl diamond 2021 competition: Overview, results, and lessons learned
Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, et al · 2022
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Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
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Rankgen: Improving text generation with large ranking models
Kalpesh Krishna, Yapei Chang, John Wieting, and Mohit Iyyer · 2022
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Juewu-mc: Playing minecraft with sample-efficient hierarchical reinforcement learning
Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, and Wei Yang · 2022
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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
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou · 2022
From text to tactic: Evaluating llms playing the game of avalon
Jonathan Light, Min Cai, Sheng Shen, and Ziniu Hu · 2023
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Batchprompt: Accomplish more with less
Jianzhe Lin, Maurice Diesendruck, Liang Du, and Robin Abraham · 2023
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On learning to summarize with large language models as references
Yixin Liu, Alexander R Fabbri, Pengfei Liu, Dragomir Radev, and Arman Cohan · 2023
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Learning to compress prompts with gist tokens
Jesse Mu, Xiang Lisa Li, and Noah Goodman · 2023
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Cited alongside, same era.
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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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Leancontext: Cost-efficient domain-specific question answering using llms
Md Adnan Arefeen, Biplob Debnath, and Srimat Chakradhar · 2023
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Do as i can, not as i say: Grounding language in robotic affordances
Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, et al · 2023
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Neeraj Cherakara, Finny Varghese, Sheena Shabana, Nivan Nelson, Abhiram Karukayil, Rohith Kulothungan, Mohammed Afil Farhan, Birthe Nesset, Meriam Moujahid, Tanvi Dinkar, et al · 2023
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Can large language models be an alternative to human evaluations?
Cheng-Han Chiang and Hung-yi Lee · 2023
Cited alongside, same era.
Chatlaw: Open-source legal large language model with integrated external knowledge bases
Jiaxi Cui, Zongjian Li, Yang Yan, Bohua Chen, and Li Yuan · 2023
Cited alongside, same era.
Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, and Sameer Singh · 2023
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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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Role play with large language models
Murray Shanahan, Kyle McDonell, and Laria Reynolds · 2023
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Reflexion: an autonomous agent with dynamic memory and self-reflection
Noah Shinn, Beck Labash, and Ashwin Gopinath · 2023
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Progprompt: Generating situated robot task plans using large language models
Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, and Animesh Garg · 2023
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Llm-planner: Few-shot grounded planning for embodied agents with large language models
Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M Sadler, Wei-Lun Chao, and Yu Su · 2023
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Adaplanner: Adaptive planning from feedback with language models
Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, and Chao Zhang · 2023
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Simulating social media using large language models to evaluate alternative news feed algorithms
Petter Törnberg, Diliara Valeeva, Justus Uitermark, and Christopher Bail · 2023
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A brief overview of chatgpt: The history, status quo and potential future development
Tianyu Wu, Shizhu He, Jingping Liu, Siqi Sun, Kang Liu, Qing-Long Han, and Yang Tang · 2023
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Exploring large language models for communication games: An empirical study on werewolf
Yuzhuang Xu, Shuo Wang, Peng Li, Fuwen Luo, Xiaolong Wang, Weidong Liu, and Yang Liu · 2023
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Large language model cascades with mixture of thoughts representations for cost-efficient reasoning
Murong Yue, Jie Zhao, Min Zhang, Liang Du, and Ziyu Yao · 2023
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Rlogist: fast observation strategy on whole-slide images with deep reinforcement learning
Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, and Wei Yang · 2023
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Memorybank: Enhancing large language models with long-term memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao, and Yanlin Wang · 2023
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Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, and Deheng Ye · 2024
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