Sainbayar Sukhbaatar

Most-cited papers

End-To-End Memory Networks
Sainbayar Sukhbaatar, A. Szlam, J. Weston, R. Fergus
2015Neural Information Processing Systems2,790 citations
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Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar, A. Szlam, R. Fergus
2016Neural Information Processing Systems1,452 citations
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Training Large Language Models to Reason in a Continuous Latent Space
Shibo Hao, Sainbayar Sukhbaatar, Di-Jia Su, Xian Li +3 more
2024arXiv.org859 citations
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Self-Rewarding Language Models
Weizhe Yuan, Richard Yuanzhe Pang, K. Cho, Xian Li +3 more
2024International Conference on Machine Learning785 citations
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Training Convolutional Networks with Noisy Labels
Sainbayar Sukhbaatar, Joan Bruna, Manohar Paluri, L. Bourdev +1 more
2014International Conference on Learning Representations679 citations
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Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar, Ze-Ming Lin, Ilya Kostrikov, Gabriel Synnaeve +2 more
2017International Conference on Learning Representations386 citations
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Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Amanpreet Singh, Tushar Jain, Sainbayar Sukhbaatar
2018International Conference on Learning Representations348 citations
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Simple Baseline for Visual Question Answering
Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar, A. Szlam +1 more
2015arXiv.org340 citations
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Adaptive Attention Span in Transformers
Sainbayar Sukhbaatar, E. Grave, P. Bojanowski, A. Joulin
2019Annual Meeting of the Association for Computational Linguistics338 citations Open access
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Hash Layers For Large Sparse Models
Stephen Roller, Sainbayar Sukhbaatar, A. Szlam, J. Weston
2021Neural Information Processing Systems320 citations
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Iterative Reasoning Preference Optimization
Richard Yuanzhe Pang, Weizhe Yuan, K. Cho, He He +2 more
2024Neural Information Processing Systems293 citations
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Learning from Noisy Labels with Deep Neural Networks
Sainbayar Sukhbaatar, R. Fergus
2014International Conference on Learning Representations286 citations
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Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu +4 more
2024Conference on Empirical Methods in Natural Language Processing234 citations
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Teaching Large Language Models to Reason with Reinforcement Learning
Alex Havrilla, Yuqing Du, S. Raparthy, Christoforos Nalmpantis +5 more
2024arXiv.org194 citations
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Augmenting Self-attention with Persistent Memory
Sainbayar Sukhbaatar, E. Grave, Guillaume Lample, H. Jégou +1 more
2019arXiv.org163 citations
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Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu +7 more
2024arXiv.org133 citations
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SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
Yifei Zhou, Song Jiang, Yuan-Dong Tian, Jason E. Weston +3 more
2025arXiv.org118 citations
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Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Lucas Lehnert, Sainbayar Sukhbaatar, Di-Jia Su, Qin-Qing Zheng +3 more
2024arXiv.org112 citations
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Some things are more CRINGE than others: Preference Optimization with the Pairwise Cringe Loss
Jing Xu, Andrew Lee, Sainbayar Sukhbaatar, Jason E. Weston
2023arXiv.org109 citations
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System 2 Attention (is something you might need too)
Jason E. Weston, Sainbayar Sukhbaatar
2023arXiv.org108 citations
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Weakly Supervised Memory Networks
Sainbayar Sukhbaatar, A. Szlam, J. Weston, R. Fergus
2015arXiv.org107 citations
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Memory-Augmented Reinforcement Learning for Image-Goal Navigation
Lina Mezghan, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets +3 more
2021IEEE/RJS International Conference on Intelligent RObots and Systems100 citations Open access
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MazeBase: A Sandbox for Learning from Games
Sainbayar Sukhbaatar, A. Szlam, Gabriel Synnaeve, Soumith Chintala +1 more
2015arXiv.org79 citations
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Contextual Position Encoding: Learning to Count What's Important
Olga Golovneva, Tianlu Wang, Jason E. Weston, Sainbayar Sukhbaatar
2024arXiv.org77 citations
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Composable Planning with Attributes
Amy Zhang, A. Lerer, Sainbayar Sukhbaatar, R. Fergus +1 more
2018International Conference on Machine Learning68 citations
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Reverse Training to Nurse the Reversal Curse
Olga Golovneva, Zeyuan Allen-Zhu, Jason E. Weston, Sainbayar Sukhbaatar
2024arXiv.org62 citations
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Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
Di-Jia Su, Sainbayar Sukhbaatar, Michael G. Rabbat, Yuan-Dong Tian +1 more
2024International Conference on Learning Representations61 citations
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Thinking LLMs: General Instruction Following with Thought Generation
Tianhao Wu, Janice Lan, Weizhe Yuan, Jian-Tao Jiao +2 more
2024arXiv.org58 citations
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Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Sebastian Gehrmann, H. Strobelt, Alexander M. Rush, Fabio Kepler +496 more
201955 citations Open access
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Director: Generator-Classifiers For Supervised Language Modeling
Kushal Arora, Kurt Shuster, Sainbayar Sukhbaatar, J. Weston
2022AACL52 citations Open access
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Following Length Constraints in Instructions
Weizhe Yuan, Ilia Kulikov, Ping Yu, K. Cho +3 more
2024Conference on Empirical Methods in Natural Language Processing49 citations
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Learning to Reason and Memorize with Self-Notes
Jack Lanchantin, Shubham Toshniwal, J. Weston, A. Szlam +1 more
2023Neural Information Processing Systems47 citations Open access
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Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning
Sainbayar Sukhbaatar, E. Denton, A. Szlam, R. Fergus
2018arXiv.org47 citations
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Self-Consistency Preference Optimization
Archiki Prasad, Weizhe Yuan, Richard Yuanzhe Pang, Jing Xu +5 more
2024International Conference on Machine Learning46 citations
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The CRINGE Loss: Learning what language not to model
Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster +2 more
2022Annual Meeting of the Association for Computational Linguistics44 citations Open access
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Not All Memories are Created Equal: Learning to Forget by Expiring
Sainbayar Sukhbaatar, Da Ju, Spencer Poff, Stephen Roller +3 more
2021International Conference on Machine Learning42 citations
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Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Lina Mezghani, Sainbayar Sukhbaatar, P. Bojanowski, A. Lazaric +1 more
2023Conference on Robot Learning33 citations Open access
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CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks
Ping Yu, Jack Lanchantin, Tianlu Wang, Weizhe Yuan +5 more
2025arXiv.org30 citations
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Staircase Attention for Recurrent Processing of Sequences
Da Ju, Stephen Roller, Sainbayar Sukhbaatar, J. Weston
2021Neural Information Processing Systems22 citations Open access
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Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets
Sainbayar Sukhbaatar, Takaki Makino, K. Aihara, T. Chikayama
2011Asian Conference on Machine Learning20 citations
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Large Language Model Programs
Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, Wen-Tau Yih +3 more
2023arXiv.org17 citations Open access
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Adaptive Decoding via Latent Preference Optimization
S. Dhuliawala, Ilia Kulikov, Ping Yu, Asli Celikyilmaz +3 more
2024arXiv.org15 citations
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Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions
Lina Mezghani, P. Bojanowski, Alahari Karteek, Sainbayar Sukhbaatar
2023arXiv.org15 citations Open access
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Improving Open Language Models by Learning from Organic Interactions
Jing Xu, Da Ju, Joshua Lane, M. Komeili +9 more
2023arXiv.org13 citations Open access
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Learning to Visually Navigate in Photorealistic Environments Without any Supervision
Lina Mezghani, Sainbayar Sukhbaatar, A. Szlam, A. Joulin +1 more
2020arXiv.org12 citations
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Training Hybrid Language Models by Marginalizing over Segmentations
E. Grave, Sainbayar Sukhbaatar, P. Bojanowski, A. Joulin
2019Annual Meeting of the Association for Computational Linguistics12 citations Open access
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Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL
Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar +3 more
2022Conference on Uncertainty in Artificial Intelligence11 citations Open access
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Exploration-Driven Representation Learning in Reinforcement Learning
Akram Erraqabi, Mingde Zhao, Marlos C. Machado, Yoshua Bengio +3 more
202111 citations
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A Data Source for Reasoning Embodied Agents
Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun +2 more
2023AAAI Conference on Artificial Intelligence10 citations Open access
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Accessing Higher-level Representations in Sequential Transformers with Feedback Memory
Angela Fan, Thibaut Lavril, E. Grave, A. Joulin +1 more
2020arXiv.org10 citations
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