| GLUE: A multi-task benchmark and analysis platform for natural language understanding A Wang, A Singh, J Michael, F Hill, O Levy, SR Bowman Proceedings of the 7th annual International Conference on Learning …, 2019 | 5538 | 2019 |
| Superglue: A stickier benchmark for general-purpose language understanding systems A Wang, Y Pruksachatkun, N Nangia, A Singh, J Michael, F Hill, O Levy, ... Advances in neural information processing systems 32, 2019 | 1615 | 2019 |
| Supervised open information extraction G Stanovsky, J Michael, L Zettlemoyer, I Dagan Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 316 | 2018 |
| AmbigQA: Answering ambiguous open-domain questions S Min, J Michael, H Hajishirzi, L Zettlemoyer arXiv preprint arXiv:2004.10645, 2020 | 147 | 2020 |
| Large-scale QA-SRL parsing N FitzGerald, J Michael, L He, L Zettlemoyer Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 101 | 2018 |
| Crowdsourcing question-answer meaning representations J Michael, G Stanovsky, L He, I Dagan, L Zettlemoyer Proceedings of the 16th Annual Conference of the North American Chapter of …, 2018 | 77 | 2018 |
| Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting M Turpin, J Michael, E Perez, SR Bowman arXiv preprint arXiv:2305.04388, 2023 | 56 | 2023 |
| The winograd schema challenge and reasoning about correlation D Bailey, AJ Harrison, Y Lierler, V Lifschitz, J Michael 2015 AAAI Spring Symposium Series, 2015 | 55 | 2015 |
| Prompting contrastive explanations for commonsense reasoning tasks B Paranjape, J Michael, M Ghazvininejad, L Zettlemoyer, H Hajishirzi arXiv preprint arXiv:2106.06823, 2021 | 48 | 2021 |
| Controlled crowdsourcing for high-quality QA-SRL annotation P Roit, A Klein, D Stepanov, J Mamou, J Michael, G Stanovsky, ... arXiv preprint arXiv:1911.03243, 2019 | 41 | 2019 |
| Asking without telling: Exploring latent ontologies in contextual representations J Michael, JA Botha, I Tenney arXiv preprint arXiv:2004.14513, 2020 | 40 | 2020 |
| Human-in-the-loop parsing L He, J Michael, M Lewis, L Zettlemoyer Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 35 | 2016 |
| Asking it all: Generating contextualized questions for any semantic role V Pyatkin, P Roit, J Michael, R Tsarfaty, Y Goldberg, I Dagan arXiv preprint arXiv:2109.04832, 2021 | 31 | 2021 |
| Nearest neighbor zero-shot inference W Shi, J Michael, S Gururangan, L Zettlemoyer Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 22 | 2022 |
| We're Afraid Language Models Aren't Modeling Ambiguity A Liu, Z Wu, J Michael, A Suhr, P West, A Koller, S Swayamdipta, ... arXiv preprint arXiv:2304.14399, 2023 | 14 | 2023 |
| What do nlp researchers believe? results of the nlp community metasurvey J Michael, A Holtzman, A Parrish, A Mueller, A Wang, A Chen, D Madaan, ... arXiv preprint arXiv:2208.12852, 2022 | 13 | 2022 |
| Inducing semantic roles without syntax J Michael, L Zettlemoyer Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 4 | 2021 |
| Proving infinitary formulas A Harrison, V Lifschitz, J Michael Theory and Practice of Logic Programming 16 (5-6), 787-799, 2016 | 3 | 2016 |
| Finite proofs for infinitary formulas A Harrison, V Lifschitz, J Michael Working Notes of the Workshop on Answer Set Programming and Other Computing …, 2015 | 2 | 2015 |
| Overconfidence in the face of ambiguity with adversarial data M Li, J Michael Proceedings of the First Workshop on Dynamic Adversarial Data Collection, 30-40, 2022 | 1 | 2022 |
Samuel R. BowmanNYU and AnthropicVerified email at nyu.edu
