| A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference A Williams, N Nangia, SR Bowman Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 3121 | 2018 |
| XNLI: Evaluating cross-lingual sentence representations A Conneau, G Lample, R Rinott, A Williams, SR Bowman, H Schwenk, ... Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 901 | 2018 |
| Adversarial NLI: A new benchmark for natural language understanding Y Nie, A Williams, E Dinan, M Bansal, J Weston, D Kiela arXiv preprint arXiv:1910.14599, 2019 | 524 | 2019 |
| Dynabench: Rethinking benchmarking in NLP D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ... arXiv preprint arXiv:2104.14337, 2021 | 175 | 2021 |
| Do latent tree learning models identify meaningful structure in sentences? A Williams, A Drozdov, SR Bowman Transactions of the Association for Computational Linguistics 6, 253--267, 2018 | 138* | 2018 |
| 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 | 135 | 2021 |
| Queens are powerful too: Mitigating gender bias in dialogue generation E Dinan, A Fan, A Williams, J Urbanek, D Kiela, J Weston arXiv preprint arXiv:1911.03842, 2019 | 135 | 2019 |
| Information-theoretic probing for linguistic structure T Pimentel, J Valvoda, RH Maudslay, R Zmigrod, A Williams, R Cotterell arXiv preprint arXiv:2004.03061, 2020 | 132 | 2020 |
| The repeval 2017 shared task: Multi-genre natural language inference with sentence representations N Nangia, A Williams, A Lazaridou, SR Bowman Proceedings of RepEval 2017: The Second Workshop on Evaluating Vector Space …, 2017 | 99 | 2017 |
| Winoground: Probing vision and language models for visio-linguistic compositionality T Thrush, R Jiang, M Bartolo, A Singh, A Williams, D Kiela, C Ross Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 85 | 2022 |
| Are natural language inference models IMPPRESsive? Learning IMPlicature and PRESupposition P Jeretic, A Warstadt, S Bhooshan, A Williams arXiv preprint arXiv:2004.03066, 2020 | 73 | 2020 |
| Early sensitivity of left perisylvian cortex to relationality in nouns and verbs A Williams, S Reddigari, L Pylkkänen Neuropsychologia 100, 131-143, 2017 | 68 | 2017 |
| Multi-dimensional gender bias classification E Dinan, A Fan, L Wu, J Weston, D Kiela, A Williams arXiv preprint arXiv:2005.00614, 2020 | 63 | 2020 |
| Unnatural Language Inference K Sinha, P Parthasarathi, J Pineau, A Williams Proceedings of the 59th Annual Meeting of the Association of Computational …, 2021 | 59 | 2021 |
| SIGMORPHON 2020 shared task 0: Typologically diverse morphological inflection E Vylomova, J White, E Salesky, SJ Mielke, S Wu, E Ponti, RH Maudslay, ... arXiv preprint arXiv:2006.11572, 2020 | 54 | 2020 |
| Pareto probing: Trading off accuracy for complexity T Pimentel, N Saphra, A Williams, R Cotterell arXiv preprint arXiv:2010.02180, 2020 | 40 | 2020 |
| Intrinsic probing through dimension selection LT Hennigen, A Williams, R Cotterell arXiv preprint arXiv:2010.02812, 2020 | 37 | 2020 |
| Verb argument structure alternations in word and sentence embeddings K Kann, A Warstadt, A Williams, SR Bowman Proceedings of the Society for Computation in Linguistics (SCiL), 287–297, 2019 | 37 | 2019 |
| A tale of a probe and a parser RH Maudslay, J Valvoda, T Pimentel, A Williams, R Cotterell arXiv preprint arXiv:2005.01641, 2020 | 36 | 2020 |
| Dynaboard: An evaluation-as-a-service platform for holistic next-generation benchmarking Z Ma, K Ethayarajh, T Thrush, S Jain, L Wu, R Jia, C Potts, A Williams, ... Advances in Neural Information Processing Systems 34, 10351-10367, 2021 | 31 | 2021 |
Samuel R. BowmanAssociate Professor, NYUVerifierad e-postadress på nyu.edu
