Fetching the paper…
Reading the bibliography…
Autonomous agents have demonstrated significant potential in automating complex multistep decision-making tasks.
The curious case of neural text degeneration, 2020
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi · 1904
Earlier work this paper cites.
Bandit based monte-carlo planning
Levente Kocsis and Csaba Szepesvári · 2006
Earlier work this paper cites.
Multi-armed bandits with episode context
Christopher D. Rosin · 2011
Earlier work this paper cites.
Necessary Conditions of Learning
Ference Marton · 2014
Earlier work this paper cites.
Mastering chess and shogi by self-play with a general reinforcement learning algorithm, 2017
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, and Demis Hassabis · 2017
Earlier work this paper cites.
Reinforcement Learning: An Introduction
Richard S. Sutton and Andrew G. Barto · 2018
Earlier work this paper cites.
Best practices for the human evaluation of automatically generated text
Chris van der Lee, Albert Gatt, Emiel van Miltenburg, Sander Wubben, and Emiel Krahmer · 2019
Earlier work this paper cites.
Measuring progress on scalable oversight for large language models, 2022
Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez, Edwin Chen, Craig Pettit, Scott Heiner, Kamilė Lukošiūtė, Amanda Askell, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Christopher Olah, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Jackson Kernion, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Liane Lovitt, Nelson Elhage, Nicholas Schiefer, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Robin Larson, Sam McCandlish, Sandipan Kundu, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Ben Mann, and Jared Kaplan · 2022
Earlier work this paper cites.
Webgpt: Browser-assisted question-answering with human feedback, 2022
Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, Xu Jiang, Karl Cobbe, Tyna Eloundou, Gretchen Krueger, Kevin Button, Matthew Knight, Benjamin Chess, and John Schulman · 2022
Earlier work this paper cites.
Monte carlo tree search: a review of recent modifications and applications
Maciej Świechowski, Konrad Godlewski, Bartosz Sawicki, and Jacek Mańdziuk · 2022
Earlier work this paper cites.
Fireact: Toward language agent fine-tuning, 2023
Baian Chen, Chang Shu, Ehsan Shareghi, Nigel Collier, Karthik Narasimhan, and Shunyu Yao · 2023
Earlier work this paper cites.
Mind2web: Towards a generalist agent for the web, 2023
Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, and Yu Su · 2023
Earlier work this paper cites.
Metagpt: Meta programming for a multi-agent collaborative framework, 2023
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 · 2023
Earlier work this paper cites.
Language models can solve computer tasks, 2023
Geunwoo Kim, Pierre Baldi, and Stephen McAleer · 2023
Earlier work this paper cites.
Agentbench: Evaluating llms as agents, 2023
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, and Jie Tang · 2023
Earlier work this paper cites.
Self-refine: Iterative refinement with self-feedback, 2023
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, and Peter Clark · 2023
Earlier work this paper cites.
Generative agents: Interactive simulacra of human behavior, 2023
Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein · 2023
Cited alongside, same era.
Android in the wild: A large-scale dataset for android device control, 2023
Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, and Timothy Lillicrap · 2023
Cited alongside, same era.
Reflexion: Language agents with verbal reinforcement learning, 2023
Noah Shinn, Federico Cassano, Edward Berman, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2023
Cited alongside, same era.
Hierarchical prompting assists large language model on web navigation, 2023
Abishek Sridhar, Robert Lo, Frank F. Xu, Hao Zhu, and Shuyan Zhou · 2023
Cited alongside, same era.
Autowebglm: Bootstrap and reinforce a large language model-based web navigating agent, 2024
Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, and Jie Tang · 2024
Closest in time.
Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets
Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, et al · 2024
Closest in time.
Hello GPT-4o
OpenAI · 2024
Closest in time.
Introducing OpenAI o1
OpenAI · 2024
Closest in time.
New embedding models and api updates
OpenAI · 2024
Closest in time.
Androidworld: A dynamic benchmarking environment for autonomous agents, 2024
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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
Cited alongside, same era.
Prompt-based monte-carlo tree search for goal-oriented dialogue policy planning, 2023
Xiao Yu, Maximillian Chen, and Zhou Yu · 2023
Cited alongside, same era.
Agenttuning: Enabling generalized agent abilities for llms, 2023
Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, and Jie Tang · 2023
Cited alongside, same era.
Phi-3 technical report: A highly capable language model locally on your phone
Marah Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, et al · 2024
Cited alongside, same era.
Agent s: An open agentic framework that uses computers like a human, 2024
Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, and Xin Eric Wang · 2024
Cited alongside, same era.
Learn-by-interact: A data-centric framework for self-adaptive agents in realistic environments
Anonymous · 2024
Cited alongside, same era.
The claude 3 model family: Opus, sonnet, haiku
Anthropic · 2024
Cited alongside, same era.
Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, and Honglak Lee · 2024
Cited alongside, same era.
Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, Jonathan Waltz, Gabrielle Lau, Marybeth Fair, Alice Li, William Bishop, Wei Li, Folawiyo Campbell-Ajala, Daniel Toyama, Robert Berry, Divya Tyamagundlu, Timothy Lillicrap, and Oriana Riva · 2024
Closest in time.
Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024
Charlie Snell, Jaehoon Lee, Kelvin Xu, and Aviral Kumar · 2024
Closest in time.
Step: Stacked llm policies for web actions, 2024
Paloma Sodhi, S. R. K. Branavan, Yoav Artzi, and Ryan McDonald · 2024
Closest in time.
Cognitive architectures for language agents, 2024
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas L. Griffiths · 2024
Closest in time.
Opendevin: An open platform for ai software developers as generalist agents, 2024
Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, and Graham Neubig · 2024
Closest in time.
Agentless: Demystifying llm-based software engineering agents, 2024
Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, and Lingming Zhang · 2024
Closest in time.
Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments, 2024
Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, and Tao Yu · 2024
Closest in time.
Swe-agent: Agent-computer interfaces enable automated software engineering, 2024
John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press · 2024
Closest in time.
Teaching language models to self-improve through interactive demonstrations, 2024
Xiao Yu, Baolin Peng, Michel Galley, Jianfeng Gao, and Zhou Yu · 2024
Closest in time.
Gpt-4v(ision) is a generalist web agent, if grounded, 2024
Boyuan Zheng, Boyu Gou, Jihyung Kil, Huan Sun, and Yu Su · 2024
Closest in time.