| End-To-End Memory Networks S Sukhbaatar, A Szlam, J Weston, R Fergus | 3559 | 2015 |
| Learning multiagent communication with backpropagation S Sukhbaatar, A Szlam, R Fergus Advances in Neural Information Processing Systems, 2244-2252, 2016 | 1686 | 2016 |
| Training Convolutional Networks with Noisy Labels S Sukhbaatar, J Bruna, M Paluri, L Bourdev, R Fergus Accepted as a workshop contribution at ICLR 2015, 2014 | 1071* | 2014 |
| Self-rewarding language models W Yuan, RY Pang, K Cho, X Li, S Sukhbaatar, J Xu, JE Weston Forty-first International Conference on Machine Learning, 2024 | 630 | 2024 |
| Intrinsic motivation and automatic curricula via asymmetric self-play S Sukhbaatar, Z Lin, I Kostrikov, G Synnaeve, A Szlam, R Fergus arXiv preprint arXiv:1703.05407, 2017 | 486 | 2017 |
| Learning when to communicate at scale in multiagent cooperative and competitive tasks A Singh, T Jain, S Sukhbaatar arXiv preprint arXiv:1812.09755, 2018 | 459 | 2018 |
| Simple baseline for visual question answering B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus arXiv preprint arXiv:1512.02167, 2015 | 446 | 2015 |
| Adaptive attention span in transformers S Sukhbaatar, E Grave, P Bojanowski, A Joulin arXiv preprint arXiv:1905.07799, 2019 | 386 | 2019 |
| Training large language models to reason in a continuous latent space S Hao, S Sukhbaatar, DJ Su, X Li, Z Hu, J Weston, Y Tian arXiv preprint arXiv:2412.06769, 2024 | 301 | 2024 |
| Iterative reasoning preference optimization RY Pang, W Yuan, H He, K Cho, S Sukhbaatar, J Weston Advances in Neural Information Processing Systems 37, 116617-116637, 2024 | 280 | 2024 |
| Hash layers for large sparse models S Roller, S Sukhbaatar, J Weston advances in neural information processing systems 34, 17555-17566, 2021 | 264 | 2021 |
| Augmenting self-attention with persistent memory S Sukhbaatar, E Grave, G Lample, H Jegou, A Joulin arXiv preprint arXiv:1907.01470, 2019 | 156 | 2019 |
| Meta-rewarding language models: Self-improving alignment with llm-as-a-meta-judge T Wu, W Yuan, O Golovneva, J Xu, Y Tian, J Jiao, JE Weston, ... Proceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025 | 153 | 2025 |
| Teaching large language models to reason with reinforcement learning A Havrilla, Y Du, SC Raparthy, C Nalmpantis, J Dwivedi-Yu, ... arXiv preprint arXiv:2403.04642, 2024 | 151 | 2024 |
| Some things are more cringe than others: Preference optimization with the pairwise cringe loss J Xu, A Lee, S Sukhbaatar, J Weston CoRR, 2023 | 117 | 2023 |
| Memory-augmented reinforcement learning for image-goal navigation L Mezghan, S Sukhbaatar, T Lavril, O Maksymets, D Batra, P Bojanowski, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 115 | 2022 |
| System 2 attention (is something you might need too) J Weston, S Sukhbaatar arXiv preprint arXiv:2311.11829, 2023 | 98 | 2023 |
| Composable planning with attributes A Zhang, S Sukhbaatar, A Lerer, A Szlam, R Fergus International Conference on Machine Learning, 5842-5851, 2018 | 97 | 2018 |
| Mazebase: A sandbox for learning from games S Sukhbaatar, A Szlam, G Synnaeve, S Chintala, R Fergus arXiv preprint arXiv:1511.07401, 2015 | 91 | 2015 |
| Addressing Some Limitations of Transformers with Feedback Memory A Fan, T Lavril, E Grave, A Joulin, S Sukhbaatar arXiv preprint arXiv:2002.09402, 2020 | 85* | 2020 |
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