| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 3699 | 2021 |
| A structural probe for finding syntax in word representations J Hewitt, CD Manning Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 1178 | 2019 |
| Lost in the middle: How language models use long contexts NF Liu, K Lin, J Hewitt, A Paranjape, M Bevilacqua, F Petroni, P Liang TACL, 2023 | 642 | 2023 |
| Designing and Interpreting Probes with Control Tasks J Hewitt, P Liang EMNLP, 2019 | 502 | 2019 |
| Emergent linguistic structure in artificial neural networks trained by self-supervision CD Manning, K Clark, J Hewitt, U Khandelwal, O Levy Proceedings of the National Academy of Sciences 117 (48), 30046-30054, 2020 | 358 | 2020 |
| Finding Universal Grammatical Relations in Multilingual BERT EA Chi, J Hewitt, CD Manning ACL, 2020 | 161* | 2020 |
| XNMT: The extensible neural machine translation toolkit G Neubig, M Sperber, X Wang, M Felix, A Matthews, S Padmanabhan, ... AMTA, 2018 | 76 | 2018 |
| RNNs can generate bounded hierarchical languages with optimal memory J Hewitt, M Hahn, S Ganguli, P Liang, CD Manning EMNLP, 2020 | 56 | 2020 |
| Conditional probing: measuring usable information beyond a baseline J Hewitt, K Ethayarajh, P Liang, CD Manning EMNLP, 2021 | 48 | 2021 |
| Simple, fast, accurate intent classification and slot labeling for goal-oriented dialogue systems A Gupta, J Hewitt, K Kirchhoff SIGDIAL, 2019 | 45* | 2019 |
| Truncation Sampling as Language Model Desmoothing J Hewitt, CD Manning, P Liang Findings of EMNLP, 2022 | 42 | 2022 |
| The EOS Decision and Length Extrapolation B Newman, J Hewitt, P Liang, CD Manning BlackBoxNLP, 2020 | 42 | 2020 |
| Learning translations via images with a massively multilingual image dataset J Hewitt, D Ippolito, B Callahan, R Kriz, DT Wijaya, C Callison-Burch Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 41 | 2018 |
| Refining Targeted Syntactic Evaluation of Language Models B Newman, KS Ang, J Gong, J Hewitt NAACL, 2021 | 39 | 2021 |
| Learning translations via matrix completion D Wijaya, B Callahan, J Hewitt, J Gao, X Ling, M Apidianaki, ... arXiv preprint arXiv:2406.13195, 2017 | 20 | 2017 |
| Probing artificial neural networks: insights from neuroscience AA Ivanova, J Hewitt, N Zaslavsky Brain2AI, 2021 | 16 | 2021 |
| Capturing rich response relationships with small-data neural networks J Hewitt US Patent 10,380,260, 2019 | 16* | 2019 |
| Backpack Language Models J Hewitt, J Thickstun, CD Manning, P Liang ACL, 2023 | 14 | 2023 |
| A distributional and orthographic aggregation model for english derivational morphology D Deutsch, J Hewitt, D Roth Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 12 | 2018 |
| Ensembles and cocktails: Robust finetuning for natural language generation J Hewitt, XL Li, SM Xie, B Newman, P Liang | 9 | 2021 |
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu