| Chameleon: Mixed-modal early-fusion foundation models C Team arXiv preprint arXiv:2405.09818, 2024 | 653 | 2024 |
| Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program) J Pineau, P Vincent-Lamarre, K Sinha, V Larivière, A Beygelzimer, ... Journal of machine learning research 22 (164), 1-20, 2021 | 642 | 2021 |
| Masked language modeling and the distributional hypothesis: Order word matters pre-training for little K Sinha, R Jia, D Hupkes, J Pineau, A Williams, D Kiela arXiv preprint arXiv:2104.06644, 2021 | 331 | 2021 |
| CLUTRR: A diagnostic benchmark for inductive reasoning from text K Sinha, S Sodhani, J Dong, J Pineau, WL Hamilton arXiv preprint arXiv:1908.06177, 2019 | 276 | 2019 |
| Ethical challenges in data-driven dialogue systems P Henderson, K Sinha, N Angelard-Gontier, NR Ke, G Fried, R Lowe, ... Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 123-129, 2018 | 242 | 2018 |
| V-jepa 2: Self-supervised video models enable understanding, prediction and planning M Assran, A Bardes, D Fan, Q Garrido, R Howes, M Muckley, A Rizvi, ... arXiv preprint arXiv:2506.09985, 2025 | 137 | 2025 |
| Unnatural language inference K Sinha, P Parthasarathi, J Pineau, A Williams Proceedings of the 59th annual meeting of the Association for Computational …, 2021 | 134 | 2021 |
| A taxonomy and review of generalization research in NLP D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ... Nature Machine Intelligence 5 (10), 1161-1174, 2023 | 132 | 2023 |
| Metamorph: Multimodal understanding and generation via instruction tuning S Tong, D Fan, J Li, Y Xiong, X Chen, K Sinha, M Rabbat, Y LeCun, S Xie, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2025 | 131 | 2025 |
| Learning an unreferenced metric for online dialogue evaluation K Sinha, P Parthasarathi, J Wang, R Lowe, WL Hamilton, J Pineau arXiv preprint arXiv:2005.00583, 2020 | 105 | 2020 |
| Covid-19 prognosis via self-supervised representation learning and multi-image prediction A Sriram, M Muckley, K Sinha, F Shamout, J Pineau, KJ Geras, L Azour, ... arXiv preprint arXiv:2101.04909, 2021 | 99 | 2021 |
| Probing linguistic systematicity E Goodwin, K Sinha, T O’Donnell Proceedings of the 58th annual meeting of the Association for Computational …, 2020 | 77 | 2020 |
| A hierarchical neural attention-based text classifier K Sinha, Y Dong, JCK Cheung, D Ruths Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 76 | 2018 |
| Measuring systematic generalization in neural proof generation with transformers N Gontier, K Sinha, S Reddy, C Pal Advances in Neural Information Processing Systems 33, 22231-22242, 2020 | 74 | 2020 |
| State-of-the-art generalisation research in NLP: a taxonomy and review D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ... arXiv preprint arXiv:2210.03050, 2022 | 68 | 2022 |
| Efficient tool use with chain-of-abstraction reasoning S Gao, J Dwivedi-Yu, P Yu, XE Tan, R Pasunuru, O Golovneva, K Sinha, ... Proceedings of the 31st International Conference on Computational …, 2025 | 51 | 2025 |
| Evaluating gender bias in natural language inference S Sharma, M Dey, K Sinha arXiv preprint arXiv:2105.05541, 2021 | 45 | 2021 |
| The art of llm refinement: Ask, refine, and trust K Shridhar, K Sinha, A Cohen, T Wang, P Yu, R Pasunuru, M Sachan, ... Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 40 | 2024 |
| Iclr reproducibility challenge 2019 J Pineau, K Sinha, G Fried, RN Ke, H Larochelle ReScience C 5 (2), 5, 2019 | 37 | 2019 |
| Scaling language-free visual representation learning D Fan, S Tong, J Zhu, K Sinha, Z Liu, X Chen, M Rabbat, N Ballas, ... arXiv preprint arXiv:2504.01017, 2025 | 34 | 2025 |
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
