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2020 – today
- 2024
[c21]Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston:
Self-Rewarding Language Models. ICML 2024- [i39]Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Sainbayar Sukhbaatar, Jing Xu, Jason Weston:
Self-Rewarding Language Models. CoRR abs/2401.10020 (2024) - [i38]Lucas Lehnert, Sainbayar Sukhbaatar, Paul McVay, Michael Rabbat, Yuandong Tian:
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping. CoRR abs/2402.14083 (2024) - [i37]Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu:
Teaching Large Language Models to Reason with Reinforcement Learning. CoRR abs/2403.04642 (2024) - [i36]Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu, Xi Victoria Lin, Baptiste Rozière, Jacob Kahn, Daniel Li, Wen-tau Yih, Jason Weston, Xian Li:
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. CoRR abs/2403.07816 (2024) - [i35]Olga Golovneva, Zeyuan Allen-Zhu, Jason Weston, Sainbayar Sukhbaatar:
Reverse Training to Nurse the Reversal Curse. CoRR abs/2403.13799 (2024) - [i34]Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, He He, Sainbayar Sukhbaatar, Jason Weston:
Iterative Reasoning Preference Optimization. CoRR abs/2404.19733 (2024) - [i33]Olga Golovneva, Tianlu Wang, Jason Weston, Sainbayar Sukhbaatar:
Contextual Position Encoding: Learning to Count What's Important. CoRR abs/2405.18719 (2024) - [i32]Weizhe Yuan, Ilia Kulikov, Ping Yu, Kyunghyun Cho, Sainbayar Sukhbaatar, Jason Weston, Jing Xu:
Following Length Constraints in Instructions. CoRR abs/2406.17744 (2024) - [i31]Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar:
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge. CoRR abs/2407.19594 (2024) - 2023
- [c20]Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam:
A Data Source for Reasoning Embodied Agents. AAAI 2023: 8438-8446 - [c19]Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston:
The CRINGE Loss: Learning what language not to model. ACL (1) 2023: 8854-8874 - [c18]Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar:
Learning to Reason and Memorize with Self-Notes. NeurIPS 2023 - [i30]Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari:
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping. CoRR abs/2301.02099 (2023) - [i29]Raghav Goyal, Effrosyni Mavroudi, Xitong Yang, Sainbayar Sukhbaatar, Leonid Sigal, Matt Feiszli, Lorenzo Torresani, Du Tran:
MINOTAUR: Multi-task Video Grounding From Multimodal Queries. CoRR abs/2302.08063 (2023) - [i28]Lina Mezghani, Piotr Bojanowski, Karteek Alahari, Sainbayar Sukhbaatar:
Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions. CoRR abs/2304.11063 (2023) - [i27]Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar:
Learning to Reason and Memorize with Self-Notes. CoRR abs/2305.00833 (2023) - [i26]Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, Wen-tau Yih, Jason Weston, Jürgen Schmidhuber, Xian Li:
Large Language Model Programs. CoRR abs/2305.05364 (2023) - [i25]Jing Xu, Da Ju, Joshua Lane, Mojtaba Komeili, Eric Michael Smith, Megan Ung, Morteza Behrooz, William Ngan, Rashel Moritz, Sainbayar Sukhbaatar, Y-Lan Boureau, Jason Weston, Kurt Shuster:
Improving Open Language Models by Learning from Organic Interactions. CoRR abs/2306.04707 (2023) - [i24]Jack Lanchantin, Sainbayar Sukhbaatar, Gabriel Synnaeve, Yuxuan Sun, Kavya Srinet, Arthur Szlam:
A Data Source for Reasoning Embodied Agents. CoRR abs/2309.07974 (2023) - [i23]Jason Weston, Sainbayar Sukhbaatar:
System 2 Attention (is something you might need too). CoRR abs/2311.11829 (2023) - [i22]Jing Xu, Andrew Lee, Sainbayar Sukhbaatar, Jason Weston:
Some things are more CRINGE than others: Preference Optimization with the Pairwise Cringe Loss. CoRR abs/2312.16682 (2023) - 2022
- [c17]Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari:
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping. CoRL 2022: 1401-1410 - [c16]Kushal Arora, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston:
Director: Generator-Classifiers For Supervised Language Modeling. AACL/IJCNLP (1) 2022: 512-526 - [c15]Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari:
Memory-Augmented Reinforcement Learning for Image-Goal Navigation. IROS 2022: 3316-3323 - [c14]Da Ju, Stephen Roller, Sainbayar Sukhbaatar, Jason Weston:
Staircase Attention for Recurrent Processing of Sequences. NeurIPS 2022 - [c13]Akram Erraqabi, Marlos C. Machado
, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio:
Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL. UAI 2022: 641-651 - [i21]Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio:
Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL. CoRR abs/2203.11369 (2022) - [i20]Kushal Arora, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston:
DIRECTOR: Generator-Classifiers For Supervised Language Modeling. CoRR abs/2206.07694 (2022) - [i19]Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Karteek Alahari:
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision. CoRR abs/2206.11733 (2022) - [i18]Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston:
The CRINGE Loss: Learning what language not to model. CoRR abs/2211.05826 (2022) - 2021
- [c12]Sainbayar Sukhbaatar, Da Ju, Spencer Poff, Stephen Roller, Arthur Szlam, Jason Weston, Angela Fan:
Not All Memories are Created Equal: Learning to Forget by Expiring. ICML 2021: 9902-9912 - [c11]Stephen Roller, Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston:
Hash Layers For Large Sparse Models. NeurIPS 2021: 17555-17566 - [i17]Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari:
Memory-Augmented Reinforcement Learning for Image-Goal Navigation. CoRR abs/2101.05181 (2021) - [i16]Sainbayar Sukhbaatar, Da Ju, Spencer Poff, Stephen Roller, Arthur Szlam, Jason Weston, Angela Fan:
Not All Memories are Created Equal: Learning to Forget by Expiring. CoRR abs/2105.06548 (2021) - [i15]Da Ju, Stephen Roller, Sainbayar Sukhbaatar, Jason Weston:
Staircase Attention for Recurrent Processing of Sequences. CoRR abs/2106.04279 (2021) - [i14]Stephen Roller, Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston:
Hash Layers For Large Sparse Models. CoRR abs/2106.04426 (2021) - 2020
- [i13]Angela Fan, Thibaut Lavril, Edouard Grave, Armand Joulin, Sainbayar Sukhbaatar:
Accessing Higher-level Representations in Sequential Transformers with Feedback Memory. CoRR abs/2002.09402 (2020) - [i12]Lina Mezghani, Sainbayar Sukhbaatar, Arthur Szlam, Armand Joulin, Piotr Bojanowski:
Learning to Visually Navigate in Photorealistic Environments Without any Supervision. CoRR abs/2004.04954 (2020)
2010 – 2019
- 2019
- [c10]Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin:
Adaptive Attention Span in Transformers. ACL (1) 2019: 331-335 - [c9]Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin:
Training Hybrid Language Models by Marginalizing over Segmentations. ACL (1) 2019: 1477-1482 - [c8]Amanpreet Singh, Tushar Jain, Sainbayar Sukhbaatar:
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks. ICLR (Poster) 2019 - [i11]Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin:
Adaptive Attention Span in Transformers. CoRR abs/1905.07799 (2019) - [i10]Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Hervé Jégou, Armand Joulin:
Augmenting Self-attention with Persistent Memory. CoRR abs/1907.01470 (2019) - 2018
- [b1]Sainbayar Sukhbaatar:
Elements of Intelligence: Memory, Communication and Intrinsic Motivation. New York University, USA, 2018 - [c7]Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus:
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. ICLR (Poster) 2018 - [c6]Amy Zhang, Sainbayar Sukhbaatar, Adam Lerer, Arthur Szlam, Rob Fergus:
Composable Planning with Attributes. ICML 2018: 5837-5846 - [i9]Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar, Rob Fergus, Arthur Szlam:
Composable Planning with Attributes. CoRR abs/1803.00512 (2018) - [i8]David Folqué, Sainbayar Sukhbaatar, Arthur Szlam, Joan Bruna:
Planning with Arithmetic and Geometric Attributes. CoRR abs/1809.02031 (2018) - [i7]Sainbayar Sukhbaatar, Emily Denton, Arthur Szlam, Rob Fergus:
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning. CoRR abs/1811.09083 (2018) - [i6]Amanpreet Singh, Tushar Jain, Sainbayar Sukhbaatar:
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks. CoRR abs/1812.09755 (2018) - 2017
- [i5]Sainbayar Sukhbaatar, Ilya Kostrikov, Arthur Szlam, Rob Fergus:
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. CoRR abs/1703.05407 (2017) - 2016
- [c5]Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus:
Learning Multiagent Communication with Backpropagation. NIPS 2016: 2244-2252 - [i4]Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus:
Learning Multiagent Communication with Backpropagation. CoRR abs/1605.07736 (2016) - 2015
- [c4]Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus:
End-To-End Memory Networks. NIPS 2015: 2440-2448 - [c3]Sainbayar Sukhbaatar, Rob Fergus:
Learning from Noisy Labels with Deep Neural Networks. ICLR (Workshop) 2015 - [i3]Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus:
Weakly Supervised Memory Networks. CoRR abs/1503.08895 (2015) - [i2]Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus:
MazeBase: A Sandbox for Learning from Games. CoRR abs/1511.07401 (2015) - [i1]Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus:
Simple Baseline for Visual Question Answering. CoRR abs/1512.02167 (2015) - 2013
- [c2]Sainbayar Sukhbaatar, Takaki Makino, Kazuyuki Aihara:
Auto-pooling: Learning to Improve Invariance of Image Features from Image Sequences. ICLR (Workshop Poster) 2013 - 2011
- [c1]Sainbayar Sukhbaatar, Takaki Makino, Kazuyuki Aihara, Takashi Chikayama:
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets. ACML 2011: 231-246
Coauthor Index
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last updated on 2024-09-04 00:32 CEST by the dblp team
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