| Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 13862 | 2023 |
| 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 | 4983 | 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 | 1486 | 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 | 1039 | 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 | 449 | 2021 |
| 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 | 419 | 2022 |
| 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 | 272 | 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 | 235 | 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 | 224 | 2020 |
| "I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset EM Smith, M Hall, M Kambadur, E Presani, A Williams arXiv preprint arXiv:2205.09209, 2022 | 177 | 2022 |
| Call for Papers--The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus A Warstadt, L Choshen, A Mueller, A Williams, E Wilcox, C Zhuang arXiv preprint arXiv:2301.11796, 2023 | 164 | 2023 |
| 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 | 157* | 2018 |
| Dataperf: Benchmarks for data-centric ai development M Mazumder, C Banbury, X Yao, B Karlaš, W Gaviria Rojas, S Diamos, ... Advances in Neural Information Processing Systems 36, 5320-5347, 2023 | 141 | 2023 |
| Multi-dimensional gender bias classification E Dinan, A Fan, L Wu, J Weston, D Kiela, A Williams arXiv preprint arXiv:2005.00614, 2020 | 141 | 2020 |
| Are natural language inference models IMPPRESsive? Learning IMPlicature and PRESupposition P Jeretic, A Warstadt, S Bhooshan, A Williams arXiv preprint arXiv:2004.03066, 2020 | 124 | 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 | 115 | 2017 |
| Unnatural Language Inference K Sinha, P Parthasarathi, J Pineau, A Williams Proceedings of the 59th Annual Meeting of the Association of Computational …, 2021 | 113 | 2021 |
| Perturbation augmentation for fairer nlp R Qian, C Ross, J Fernandes, E Smith, D Kiela, A Williams arXiv preprint arXiv:2205.12586, 2022 | 100 | 2022 |
| The prism alignment project: What participatory, representative and individualised human feedback reveals about the subjective and multicultural alignment of large language models HR Kirk, A Whitefield, P Röttger, A Bean, K Margatina, J Ciro, R Mosquera, ... arXiv preprint arXiv:2404.16019, 2024 | 77 | 2024 |
| Early sensitivity of left perisylvian cortex to relationality in nouns and verbs A Williams, S Reddigari, L Pylkkänen Neuropsychologia 100, 131-143, 2017 | 76 | 2017 |
Douwe KielaContextual AI, Stanford UniversityVerified email at stanford.edu
