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Intelligent agents stand out as a potential path toward artificial general intelligence (AGI).
Speech acts: An essay in the philosophy of language , volume 626
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Does the chimpanzee have a theory of mind?
David Premack and Guy Woodruff · 1978
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Multicommodity, multimode freight transportation: A general modeling and algorithmic framework for the service network design problem
Teodor G Crainic and Jean-Marc Rousseau · 1986
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Distributed problem-solving techniques: A survey
Keith S Decker · 1987
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Society of mind
Marvin Minsky · 1988
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Kqml as an agent communication language
Tim Finin, Richard Fritzson, Don McKay, and Robin McEntire · 1994
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Particle swarm optimization
James Kennedy and Russell Eberhart · 1995
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Is it an agent, or just a program?: A taxonomy for autonomous agents
Stan Franklin and Art Graesser · 1996
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Reinforcement learning: A survey
Leslie Pack Kaelbling, Michael L Littman, and Andrew W Moore · 1996
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Hidden state and reinforcement learning with instance-based state identification
R Andrew McCallum · 1996
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Applications of distributed artificial intelligence in industry
H Van Dyke Parunak · 1996
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Growing artificial societies: social science from the bottom up
Joshua M Epstein and Robert Axtell · 1996
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A survey of pomdp applications
Anthony R Cassandra · 1998
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Pddl| the planning domain definition language
Constructions Aeronautiques, Adele Howe, Craig Knoblock, ISI Drew McDermott, Ashwin Ram, Manuela Veloso, Daniel Weld, David Wilkins SRI, Anthony Barrett, Dave Christianson, et al · 1998
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Swarm intelligence: from natural to artificial systems
Eric Bonabeau, Marco Dorigo, and Guy Theraulaz · 1999
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Agent-based systems for intelligent manufacturing: a state-of-the-art survey
Weiming Shen and Douglas H Norrie · 1999
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Multiagent systems: A survey from a machine learning perspective
Peter Stone and Manuela Veloso · 2000
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A method for the shortest path search by extended dijkstra algorithm
Masato Noto and Hiroaki Sato · 2000
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Agent-based computer simulation and sirs: building a bridge between basic science and clinical trials
Gary An · 2001
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From factors to actors: Computational sociology and agent-based modeling
Michael W Macy and Robert Willer · 2002
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Agent-based modeling: Methods and techniques for simulating human systems
Eric Bonabeau · 2002
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A model of legal reasoning with cases incorporating theories and values
Trevor Bench-Capon and Giovanni Sartor · 2003
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A computational approach to analyzing online knowledge sharing interaction
Amy Lynne Soller and Alan Lesgold · 2003
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Modeling complex socio-technical systems using multi-agent simulation methods
Maksim Tsvetovat and Kathleen M Carley · 2004
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The epitheliome: agent-based modelling of the social behaviour of cells
DC Walker, J Southgate, G Hill, M Holcombe, DR Hose, SM Wood, S Mac Neil, and RH Smallwood · 2004
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Artificial war: Multiagent-based simulation of combat
Andrew Ilachinski · 2004
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Tutorial on agent-based modeling and simulation
Charles M Macal and Michael J North · 2005
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Individual-based modeling of ecological and evolutionary processes
Donald L DeAngelis and Wolf M Mooij · 2005
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Simulation for the social scientist
Nigel Gilbert and Klaus Troitzsch · 2005
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Handbook of computational economics: agent-based computational economics
Leigh Tesfatsion and Kenneth L Judd · 2006
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Cognition and multi-agent interaction: From cognitive modeling to social simulation
Ron Sun · 2006
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Applications of agent-based systems in intelligent manufacturing: An updated review
Weiming Shen, Qi Hao, Hyun Joong Yoon, and Douglas H Norrie · 2006
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Pathway mapping tools for analysis of high content data
Sean Ekins, Yuri Nikolsky, Andrej Bugrim, Eugene Kirillov, and Tatiana Nikolskaya · 2006
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Literature review of teamwork models
Katia Sycara and Gita Sukthankar · 2006
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Categorizing approaches combining rule-based and case-based reasoning
Jim Prentzas and Ioannis Hatzilygeroudis · 2007
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Managing business complexity: discovering strategic solutions with agent-based modeling and simulation
Michael J North and Charles M Macal · 2007
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A comprehensive survey of multiagent reinforcement learning
Lucian Busoniu, Robert Babuska, and Bart De Schutter · 2008
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An introduction to multiagent systems
Michael Wooldridge · 2009
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Abstractions, ensembles, and virtualizations: simplicity and complexity in agent-based modeling
Ian S Lustick and Dan Miodownik · 2009
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Ema: A process model of appraisal dynamics
Stacy C Marsella and Jonathan Gratch · 2009
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Artificial Intelligence: A Modern Approach (4th Edition)
Stuart J Russell and Peter Norvig · 2010
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Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning
Beverly Park Woolf · 2010
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A multi-agent architecture for modelling and simulation of small military unit combat in asymmetric warfare
Ibrahim Cil and Murat Mala · 2010
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Reinforcement learning in robotics: A survey
Jens Kober, J Andrew Bagnell, and Jan Peters · 2013
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Reasoning with rules and precedents: a computational model of legal analysis
L Karl Branting · 2013
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Agent-based modeling and simulation of a smart grid: A case study of communication effects on frequency control
Olli Kilkki, Antti Kangasrääsiö, Raimo Nikkilä, Antti Alahäivälä, and Ilkka Seilonen · 2014
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Applications of multi-agent systems in smart grids: A survey
Ghezlane Halhoul Merabet, Mohammed Essaaidi, Hanaa Talei, Mohamed Riduan Abid, Nacer Khalil, Mohcine Madkour, and Driss Benhaddou · 2014
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
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An introduction to agent-based modeling: modeling natural, social, and engineered complex systems with NetLogo
Uri Wilensky and William Rand · 2015
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Where does alphago go: From church-turing thesis to alphago thesis and beyond
Fei-Yue Wang, Jun Jason Zhang, Xinhu Zheng, Xiao Wang, Yong Yuan, Xiaoxiao Dai, Jie Zhang, and Liuqing Yang · 2016
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Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach
Rafael Gómez-Bombarelli, Jorge Aguilera-Iparraguirre, Timothy D Hirzel, David Duvenaud, Dougal Maclaurin, Martin A Blood-Forsythe, Hyun Sik Chae, Markus Einzinger, Dong-Gwang Ha, Tony Wu, et al · 2016
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Multiple mobile robot systems
Lynne E Parker, Daniela Rus, and Gaurav S Sukhatme · 2016
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Knowledge graph embedding: A survey of approaches and applications
Quan Wang, Zhendong Mao, Bin Wang, and Li Guo · 2017
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Proximal policy optimization algorithms, 2017
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Multi-agent actor-critic for mixed cooperative-competitive environments
Ryan Lowe, Yi I Wu, Aviv Tamar, Jean Harb, OpenAI Pieter Abbeel, and Igor Mordatch · 2017
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
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Microscopic traffic simulation using sumo
Pablo Alvarez Lopez, Michael Behrisch, Laura Bieker-Walz, Jakob Erdmann, Yun-Pang Flötteröd, Robert Hilbrich, Leonhard Lücken, Johannes Rummel, Peter Wagner, and Evamarie Wießner · 2018
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Hotpotqa: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W Cohen, Ruslan Salakhutdinov, and Christopher D Manning · 2018
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Fever: a large-scale dataset for fact extraction and verification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal · 2018
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Graph convolutional policy network for goal-directed molecular graph generation
Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay Pande, and Jure Leskovec · 2018
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Asset pricing under endogenous expectations in an artificial stock market
W Brian Arthur, John H Holland, Blake LeBaron, Richard Palmer, and Paul Tayler · 2018
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Adaptive traffic signal control with deep recurrent q-learning
Jinghong Zeng, Jianming Hu, and Yi Zhang · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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On the utility of learning about humans for human-ai coordination
Micah Carroll, Rohin Shah, Mark K Ho, Tom Griffiths, Sanjit Seshia, Pieter Abbeel, and Anca Dragan · 2019
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Hierarchical decision making by generating and following natural language instructions
Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, and Mike Lewis · 2019
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Robonet: Large-scale multi-robot learning
Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, and Chelsea Finn · 2019
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Optimization of molecules via deep reinforcement learning
Zhenpeng Zhou, Steven Kearnes, Li Li, Richard N Zare, and Patrick Riley · 2019
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Agent-based models in electricity markets: A literature review
Priyanka Shinde and Mikael Amelin · 2019
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Multi-agent deep reinforcement learning for large-scale traffic signal control
Tianshu Chu, Jie Wang, Lara Codecà, and Zhaojian Li · 2019
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Deep learning enables rapid identification of potent ddr1 kinase inhibitors
Alex Zhavoronkov, Yan A Ivanenkov, Alex Aliper, Mark S Veselov, Vladimir A Aladinskiy, Anastasiya V Aladinskaya, Victor A Terentiev, Daniil A Polykovskiy, Maksim D Kuznetsov, Arip Asadulaev, et al · 2019
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Deep reinforcement learning for multiagent systems: A review of challenges, solutions, and applications
Thanh Thi Nguyen, Ngoc Duy Nguyen, and Saeid Nahavandi · 2020
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Retrieval-augmented generation for knowledge-intensive NLP tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
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Alfworld: Aligning text and embodied environments for interactive learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, and Matthew Hausknecht · 2020
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A review of agent-based modeling of climate-energy policy
Juana Castro, Stefan Drews, Filippos Exadaktylos, Joël Foramitti, Franziska Klein, Théo Konc, Ivan Savin, and Jeroen van den Bergh · 2020
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The ai economist: Improving equality and productivity with ai-driven tax policies
Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C Parkes, and Richard Socher · 2020
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Fixed-time distributed voltage and reactive power compensation of islanded microgrids using sliding-mode and multi-agent consensus design
Mohamed Ghazzali, Mohamed Haloua, and Fouad Giri · 2020
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Deep reinforcement learning for autonomous driving: A survey
B Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A Al Sallab, Senthil Yogamani, and Patrick Pérez · 2021
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A decentralized cluster formation containment framework for multirobot systems
Junyan Hu, Parijat Bhowmick, Inmo Jang, Farshad Arvin, and Alexander Lanzon · 2021
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Many-agent reinforcement learning
Yaodong Yang · 2021
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Experimental study of big raster and vector database systems
Samriddhi Singla, Ahmed Eldawy, Tina Diao, Ayan Mukhopadhyay, and Elia Scudiero · 2021
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WebGPT: Browser-Assisted Question-Answering with Human Feedback
Graph of thoughts: Solving elaborate problems with large language models
Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Michal Podstawski, Hubert Niewiadomski, Piotr Nyczyk, et al · 2023
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Gautier Dagan, Frank Keller, and Alex Lascarides · 2023
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Reasoning with language model is planning with world model
Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, and Zhiting Hu · 2023
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Oscar J Romero, John Zimmerman, Aaron Steinfeld, and Anthony Tomasic · 2023
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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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Measuring coding challenge competence with apps
Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, et al · 2021
Cited alongside, same era.
Program synthesis with large language models
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, et al · 2021
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
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Using agent-based modelling to explore behavioural dynamics affecting our climate
Wander Jager · 2021
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Alexander Trott, Sunil Srinivasa, Douwe van der Wal, Sebastien Haneuse, and Stephan Zheng · 2021
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Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, et al · 2022
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Nicole Merkle and Ralf Mikut · 2023
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Leveraging pre-trained large language models to construct and utilize world models for model-based task planning, 2023
Lin Guan, Karthik Valmeekam, Sarath Sreedharan, and Subbarao Kambhampati · 2023
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Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2023
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Memgpt: Towards llms as operating systems, 2023
Charles Packer, Vivian Fang, Shishir G. Patil, Kevin Lin, Sarah Wooders, and Joseph E. Gonzalez · 2023
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Lagr-seq: Language-guided reinforcement learning with sample-efficient querying
Thommen George Karimpanal, Laknath Buddhika Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, and Svetha Venkatesh · 2023
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Think before you act: Decision transformers with internal working memory, 2023
Jikun Kang, Romain Laroche, Xindi Yuan, Adam Trischler, Xue Liu, and Jie Fu · 2023
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Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, and Karl Cobbe · 2023
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Rex: Rapid exploration and exploitation for ai agents
Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, et al · 2023
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Large language models can implement policy iteration, 2023
Ethan Brooks, Logan Walls, Richard L. Lewis, and Satinder Singh · 2023
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Language models can solve computer tasks
Geunwoo Kim, Pierre Baldi, and Stephen McAleer · 2023
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Llm-deliberation: Evaluating llms with interactive multi-agent negotiation games, 2023
Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, and Mario Fritz · 2023
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Alexa, play with robot: Introducing the first alexa prize simbot challenge on embodied ai
Hangjie Shi, Leslie Ball, Govind Thattai, Desheng Zhang, Lucy Hu, Qiaozi Gao, Suhaila Shakiah, Xiaofeng Gao, Aishwarya Padmakumar, Bofei Yang, et al · 2023
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Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang · 2023
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Chameleon: Plug-and-play compositional reasoning with large language models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, and Jianfeng Gao · 2023
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Gorilla: Large language model connected with massive apis, 2023
Shishir G. Patil, Tianjun Zhang, Xin Wang, and Joseph E. Gonzalez · 2023
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Restgpt: Connecting large language models with real-world applications via restful apis
Yifan Song, Weimin Xiong, Dawei Zhu, Cheng Li, Ke Wang, Ye Tian, and Sujian Li · 2023
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Avis: Autonomous visual information seeking with large language model agent, 2023
Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A Ross, Cordelia Schmid, and Alireza Fathi · 2023
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Large language models as tool makers
Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, and Denny Zhou · 2023
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Craft: Customizing llms by creating and retrieving from specialized toolsets, 2023
Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi R. Fung, Hao Peng, and Heng Ji · 2023
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Cgmi: Configurable general multi-agent interaction framework
Shi Jinxin, Zhao Jiabao, Wang Yilei, Wu Xingjiao, Li Jiawen, and He Liang · 2023
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From text to tactic: Evaluating llms playing the game of avalon, 2023
Jonathan Light, Min Cai, Sheng Shen, and Ziniu Hu · 2023
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Wireless multi-agent generative ai: From connected intelligence to collective intelligence
Hang Zou, Qiyang Zhao, Lina Bariah, Mehdi Bennis, and Merouane Debbah · 2023
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Roco: Dialectic multi-robot collaboration with large language models
Zhao Mandi, Shreeya Jain, and Shuran Song · 2023
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Interact: Exploring the potentials of chatgpt as a cooperative agent, 2023
Po-Lin Chen and Cheng-Shang Chang · 2023
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Mindagent: Emergent gaming interaction
Ran Gong, Qiuyuan Huang, Xiaojian Ma, Hoi Vo, Zane Durante, Yusuke Noda, Zilong Zheng, Song-Chun Zhu, Demetri Terzopoulos, Li Fei-Fei, et al · 2023
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Let models speak ciphers: Multiagent debate through embeddings
Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A Plummer, Zhaoran Wang, and Hongxia Yang · 2023
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A survey of hallucination in large foundation models
Vipula Rawte, Amit Sheth, and Amitava Das · 2023
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Chain-of-verification reduces hallucination in large language models, 2023
Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, and Jason Weston · 2023
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Bridgedata v2: A dataset for robot learning at scale
Homer Walke, Kevin Black, Abraham Lee, Moo Jin Kim, Max Du, Chongyi Zheng, Tony Zhao, Philippe Hansen-Estruch, Quan Vuong, Andre He, et al · 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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Playing repeated games with large language models
Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, and Eric Schulz · 2023
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Can large language models transform computational social science?
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, and Diyi Yang · 2023
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Evaluating multi-agent coordination abilities in large language models, 2023
Saaket Agashe, Yue Fan, and Xin Eric Wang · 2023
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Tora: A tool-integrated reasoning agent for mathematical problem solving, 2023
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, and Weizhu Chen · 2023
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A language-agent approach to formal theorem-proving, 9 2023
Amitayush Thakur and Yeming Wen · 2023
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Towards foundational models for molecular learning on large-scale multi-task datasets, 2023
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michał Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew Fitzgibbon, Błażej Banaszewski, Chad Martin, and Dominic Masters · 2023
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Bioplanner: Automatic evaluation of llms on protocol planning in biology, 2023
Odhran O’Donoghue, Aleksandar Shtedritski, John Ginger, Ralph Abboud, Ali Essa Ghareeb, Justin Booth, and Samuel G Rodriques · 2023
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Oceangpt: A large language model for ocean science tasks, 2023
Zhen Bi, Ningyu Zhang, Yida Xue, Yixin Ou, Daxiong Ji, Guozhou Zheng, and Huajun Chen · 2023
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Enhancing large language models with climate resources, 2023
Mathias Kraus, Julia Anna Bingler, Markus Leippold, Tobias Schimanski, Chiara Colesanti Senni, Dominik Stammbach, Saeid Ashraf Vaghefi, and Nicolas Webersinke · 2023
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Augmenting autotelic agents with large language models
Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, and Marc-Alexandre Côté · 2023
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To infinity and beyond: Show-1 and showrunner agents in multi-agent simulations
Maas, Carey, Wheeler, Saatchi, Billington, and Shamash · 2023
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Musicagent: An ai agent for music understanding and generation with large language models, 2023
Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, and Jiang Bian · 2023
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Steve Phelps and Rebecca Ranson · 2023
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Suspicion-agent: Playing imperfect information games with theory of mind aware gpt4, 2023
Jiaxian Guo, Bo Yang, Paul Yoo, Yuchen Lin, Yusuke Iwasawa, and Yutaka Matsuo · 2023
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Welfare diplomacy: Benchmarking language model cooperation, 2023
Gabriel Mukobi, Hannah Erlebach, Niklas Lauffer, Lewis Hammond, Alan Chan, and Jesse Clifton · 2023
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Using large language model annotations for valid downstream statistical inference in social science: Design-based semi-supervised learning, 2023
Naoki Egami, Musashi Jacobs-Harukawa, Brandon M. Stewart, and Hanying Wei · 2023
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Generative agent-based modeling: Unveiling social system dynamics through coupling mechanistic models with generative artificial intelligence, 2023
Navid Ghaffarzadegan, Aritra Majumdar, Ross Williams, and Niyousha Hosseinichimeh · 2023
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Lyfe agents: Generative agents for low-cost real-time social interactions, 2023
Zhao Kaiya, Michelangelo Naim, Jovana Kondic, Manuel Cortes, Jiaxin Ge, Shuying Luo, Guangyu Robert Yang, and Andrew Ahn · 2023
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A comprehensive evaluation of large language models on legal judgment prediction, 2023
Ruihao Shui, Yixin Cao, Xiang Wang, and Tat-Seng Chua · 2023
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Zilin Ma, Yiyang Mei, and Zhaoyuan Su · 2023
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A real-world webagent with planning, long context understanding, and program synthesis
Izzeddin Gur, Hiroki Furuta, Austin Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, and Aleksandra Faust · 2023
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Out of the cage: How stochastic parrots win in cyber security environments
Maria Rigaki, Ondřej Lukáš, Carlos A Catania, and Sebastian Garcia · 2023
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Llms for semi-automated data science: Introducing caafe for context-aware automated feature engineering, 2023
Noah Hollmann, Samuel Müller, and Frank Hutter · 2023
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Towards autonomous testing agents via conversational large language models
Robert Feldt, Sungmin Kang, Juyeon Yoon, and Shin Yoo · 2023
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Exploring the intersection of large language models and agent-based modeling via prompt engineering
Edward Junprung · 2023
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clembench: Using game play to evaluate chat-optimized language models as conversational agents
Kranti Chalamalasetti, Jana Götze, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, and David Schlangen · 2023
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Language models meet world models: Embodied experiences enhance language models
Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, and Zhiting Hu · 2023
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A multi-agent reinforcement learning approach for investigating and optimising peer-to-peer prosumer energy markets
Ross May and Pei Huang · 2023
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Llm powered sim-to-real transfer for traffic signal control
Longchao Da, Minchiuan Gao, Hao Mei, and Hua Wei · 2023
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Dilu: A knowledge-driven approach to autonomous driving with large language models, 2023
Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, and Yu Qiao · 2023
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Gpt-in-the-loop: Adaptive decision-making for multiagent systems
Nathalia Nascimento, Paulo Alencar, and Donald Cowan · 2023
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A platform for the biomedical application of large language models
Sebastian Lobentanzer and Julio Saez-Rodriguez · 2023
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Large language models as agents in the clinic
Nikita Mehandru, Brenda Y Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J Butte, and Ahmed Alaa · 2023
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Memorybank: Enhancing large language models with long-term memory, 2023
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, and Yanlin Wang · 2023
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Emotionally numb or empathetic? evaluating how llms feel using emotionbench, 2023
Jen tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, and Michael R. Lyu · 2023
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Idealgpt: Iteratively decomposing vision and language reasoning via large language models, 2023
Haoxuan You, Rui Sun, Zhecan Wang, Long Chen, Gengyu Wang, Hammad A. Ayyubi, Kai-Wei Chang, and Shih-Fu Chang · 2023
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Vipergpt: Visual inference via python execution for reasoning, 2023
Dídac Surís, Sachit Menon, and Carl Vondrick · 2023
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Palm-e: An embodied multimodal language model, 2023
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, and Pete Florence · 2023
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Large language model cascades with mixture of thoughts representations for cost-efficient reasoning, 2023
Murong Yue, Jie Zhao, Min Zhang, Liang Du, and Ziyu Yao · 2023
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Enhancing trust in llm-based ai automation agents: New considerations and future challenges
Sivan Schwartz, Avi Yaeli, and Segev Shlomov · 2023
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