| Deep contextualized word representations ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ... NAACL, Best Paper, 2018 | 16645* | 2018 |
| Longformer: The Long-Document Transformer I Beltagy, ME Peters, A Cohan arXiv preprint arXiv:2004.05150, 2020 | 4755 | 2020 |
| AllenNLP: A Deep Semantic Natural Language Processing Platform M Gardner, J Grus, M Neumann, O Tafjord, P Dasigi, N Liu, M Peters, ... arXiv preprint arXiv:1803.07640, 2018 | 1459 | 2018 |
| Semi-supervised sequence tagging with bidirectional language models ME Peters, W Ammar, C Bhagavatula, R Power arXiv preprint arXiv:1705.00108, 2017 | 911 | 2017 |
| Knowledge enhanced contextual word representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... arXiv preprint arXiv:1909.04164, 2019 | 877 | 2019 |
| Linguistic Knowledge and Transferability of Contextual Representations NF Liu, M Gardner, Y Belinkov, M Peters, NA Smith arXiv preprint arXiv:1903.08855, 2019 | 845 | 2019 |
| Transfer Learning in Natural Language Processing S Ruder, ME Peters, S Swayamdipta, T Wolf Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 820 | 2019 |
| Relationships between water vapor path and precipitation over the tropical oceans CS Bretherton, ME Peters, LE Back Journal of climate 17 (7), 1517-1528, 2004 | 808 | 2004 |
| To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks M Peters, S Ruder, NA Smith arXiv preprint arXiv:1903.05987, 2019 | 551 | 2019 |
| Dissecting Contextual Word Embeddings: Architecture and Representation ME Peters, M Neumann, L Zettlemoyer, W Yih arXiv preprint arXiv:1808.08949, 2018 | 531 | 2018 |
| Construction of the Literature Graph in Semantic Scholar W Ammar, D Groeneveld, C Bhagavatula, I Beltagy, M Crawford, ... arXiv preprint arXiv:1805.02262, 2018 | 520 | 2018 |
| Understanding the origin and analysis of sediment-charcoal records with a simulation model PE Higuera, ME Peters, LB Brubaker, DG Gavin Quaternary Science Reviews 26 (13-14), 1790-1809, 2007 | 393 | 2007 |
| Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling RL Logan IV, NF Liu, ME Peters, M Gardner, S Singh | 253 | 2019 |
| Adversarial filters of dataset biases R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ... International Conference on Machine Learning, 1078-1088, 2020 | 234 | 2020 |
| Quantifying the source area of macroscopic charcoal with a particle dispersal model ME Peters, PE Higuera Quaternary Research 67 (2), 304-310, 2007 | 192 | 2007 |
| Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2 H Ivison, Y Wang, V Pyatkin, N Lambert, M Peters, P Dasigi, J Jang, ... arXiv preprint arXiv:2311.10702, 2023 | 150 | 2023 |
| Explaining NLP Models via Minimal Contrastive Editing (MiCE) A Ross, A Marasović, ME Peters arXiv preprint arXiv:2012.13985, 2020 | 140 | 2020 |
| ATTEMPT: Parameter-efficient multi-task tuning via attentional mixtures of soft prompts A Asai, M Salehi, ME Peters, H Hajishirzi arXiv preprint arXiv:2205.11961, 2022 | 128* | 2022 |
| Olmo: Accelerating the science of language models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... arXiv preprint arXiv:2402.00838, 2024 | 127 | 2024 |
| Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples V Joshi, M Peters, M Hopkins arXiv preprint arXiv:1805.06556, 2018 | 125 | 2018 |
Iz BeltagyAllen Institute for Artificial Intelligence確認したメール アドレス: beltagy.net