| 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 | 8620 | 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 | 4566 | 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 | 1356 | 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 | 907 | 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 | 358 | 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 | 315 | 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 | 241 | 2021 |
| Information-theoretic probing for linguistic structure T Pimentel, J Valvoda, RH Maudslay, R Zmigrod, A Williams, R Cotterell arXiv preprint arXiv:2004.03061, 2020 | 205 | 2020 |
| 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 | 205 | 2019 |
| 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 |
| Multi-dimensional gender bias classification E Dinan, A Fan, L Wu, J Weston, D Kiela, A Williams arXiv preprint arXiv:2005.00614, 2020 | 131 | 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 | 129 | 2022 |
| 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, 2024 | 111 | 2024 |
| Are natural language inference models IMPPRESsive? Learning IMPlicature and PRESupposition P Jeretic, A Warstadt, S Bhooshan, A Williams arXiv preprint arXiv:2004.03066, 2020 | 110 | 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 | 110 | 2017 |
| Unnatural Language Inference K Sinha, P Parthasarathi, J Pineau, A Williams Proceedings of the 59th Annual Meeting of the Association of Computational …, 2021 | 99 | 2021 |
| Perturbation augmentation for fairer nlp R Qian, C Ross, J Fernandes, E Smith, D Kiela, A Williams arXiv preprint arXiv:2205.12586, 2022 | 80 | 2022 |
| Early sensitivity of left perisylvian cortex to relationality in nouns and verbs A Williams, S Reddigari, L Pylkkänen Neuropsychologia 100, 131-143, 2017 | 74 | 2017 |
| Findings of the BabyLM Challenge: Sample-efficient pretraining on developmentally plausible corpora A Warstadt, A Mueller, L Choshen, E Wilcox, C Zhuang, J Ciro, ... Proceedings of the BabyLM Challenge at the 27th Conference on Computational …, 2023 | 70 | 2023 |
| 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 | 60 | 2020 |
Douwe KielaContextual AI, Stanford UniversityVerified email at stanford.edu
