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 | 359 | 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 | 227 | 2021 |
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 | 181 | 2018 |
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 | 155 | 2019 |
Unnatural language inference K Sinha, P Parthasarathi, J Pineau, A Williams arXiv preprint arXiv:2101.00010, 2020 | 92 | 2020 |
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 | 90 | 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 | 68 | 2021 |
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 | 64 | 2018 |
Probing linguistic systematicity E Goodwin, K Sinha, TJ O'Donnell arXiv preprint arXiv:2005.04315, 2020 | 57 | 2020 |
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 | 55 | 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 | 52 | 2022 |
Evaluating gender bias in natural language inference S Sharma, M Dey, K Sinha arXiv preprint arXiv:2105.05541, 2021 | 37 | 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 | 30 | 2023 |
ICLR reproducibility challenge 2019 J Pineau, K Sinha, G Fried, RN Ke, H Larochelle ReScience C 5 (2), 5, 2019 | 25 | 2019 |
Evaluating logical generalization in graph neural networks K Sinha, S Sodhani, J Pineau, WL Hamilton arXiv preprint arXiv:2003.06560, 2020 | 22 | 2020 |
Language model acceptability judgements are not always robust to context K Sinha, J Gauthier, A Mueller, K Misra, K Fuentes, R Levy, A Williams arXiv preprint arXiv:2212.08979, 2022 | 13 | 2022 |
Sometimes we want ungrammatical translations P Parthasarathi, K Sinha, J Pineau, A Williams Findings of the Association for Computational Linguistics: EMNLP 2021, 3205-3227, 2021 | 12 | 2021 |
NeurIPS 2019 reproducibility challenge K Sinha, J Pineau, J Forde, RN Ke, H Larochelle ReScience C 6 (2), 11, 2020 | 12 | 2020 |
The art of llm refinement: Ask, refine, and trust K Shridhar, K Sinha, A Cohen, T Wang, P Yu, R Pasunuru, M Sachan, ... arXiv preprint arXiv:2311.07961, 2023 | 11 | 2023 |
Towards reproducible machine learning research in natural language processing A Lucic, M Bleeker, S Bhargav, J Forde, K Sinha, J Dodge, S Luccioni, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 11 | 2022 |