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Language models are rarely shown fruitful mistakes while training.
Strips: A new approach to the application of theorem proving to problem solving
Richard E Fikes and Nils J Nilsson · 1971
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A reduction of imitation learning and structured prediction to no-regret online learning
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A general reinforcement learning algorithm that masters chess, shogi, and go through self-play
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
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The pile: An 800gb dataset of diverse text for language modeling
Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, et al · 2020
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Mastering atari, go, chess and shogi by planning with a learned model
Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, et al · 2020
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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, et al · 2022
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Flashattention: Fast and memory-efficient exact attention with io-awareness
Tri Dao, Dan Fu, Stefano Ermon, Atri Rudra, and Christopher Ré · 2022
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Chain of thought imitation with procedure cloning
Mengjiao Sherry Yang, Dale Schuurmans, Pieter Abbeel, and Ofir Nachum · 2022
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Star: Bootstrapping reasoning with reasoning
Eric Zelikman, Yuhuai Wu, Jesse Mu, and Noah Goodman · 2022
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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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Strategic reasoning with language models
Kanishk Gandhi, Dorsa Sadigh, and Noah D Goodman · 2023
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Reinforced self-training (rest) for language modeling
Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, Ksenia Konyushkova, Lotte Weerts, Abhishek Sharma, Aditya Siddhant, Alex Ahern, Miaosen Wang, Chenjie Gu, et al · 2023
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Fine-tuning language models with advantage-induced policy alignment
Banghua Zhu, Hiteshi Sharma, Felipe Vieira Frujeri, Shi Dong, Chenguang Zhu, Michael I Jordan, and Jiantao Jiao · 2023
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The pitfalls of next-token prediction
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Countdown (game show)
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Evaluating cognitive maps and planning in large language models with cogeval
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Do large language models need sensory grounding for meaning and understanding
Y LeCun · 2023
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Understanding the capabilities of large language models for automated planning
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Algorithm of thoughts: Enhancing exploration of ideas in large language models
Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Lu Wang, Ruoxi Jia, and Ming Jin · 2023
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Reflexion: Language agents with verbal reinforcement learning
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