| SciBERT: A Pretrained Language Model for Scientific Text I Beltagy, K Lo, A Cohan Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 2887 | 2019 |
| Longformer: The long-document transformer I Beltagy, ME Peters, A Cohan arXiv preprint arXiv:2004.05150, 2020 | 2700 | 2020 |
| Don't stop pretraining: Adapt language models to domains and tasks S Gururangan, A Marasović, S Swayamdipta, K Lo, I Beltagy, D Downey, ... arXiv preprint arXiv:2004.10964, 2020 | 1698 | 2020 |
| Bloom: A 176b-parameter open-access multilingual language model BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ... arXiv preprint arXiv:2211.05100, 2022 | 739 | 2022 |
| ScispaCy: fast and robust models for biomedical natural language processing M Neumann, D King, I Beltagy, W Ammar arXiv preprint arXiv:1902.07669, 2019 | 617 | 2019 |
| Construction of the literature graph in semantic scholar W Ammar, D Groeneveld, C Bhagavatula, I Beltagy, M Crawford, ... arXiv preprint arXiv:1805.02262, 2018 | 411 | 2018 |
| Specter: Document-level representation learning using citation-informed transformers A Cohan, S Feldman, I Beltagy, D Downey, DS Weld arXiv preprint arXiv:2004.07180, 2020 | 351 | 2020 |
| Machine learning for reliable mmwave systems: Blockage prediction and proactive handoff A Alkhateeb, I Beltagy, S Alex 2018 IEEE Global conference on signal and information processing (GlobalSIP …, 2018 | 130 | 2018 |
| Scirex: A challenge dataset for document-level information extraction S Jain, M van Zuylen, H Hajishirzi, I Beltagy arXiv preprint arXiv:2005.00512, 2020 | 117 | 2020 |
| Pretrained language models for sequential sentence classification A Cohan, I Beltagy, D King, B Dalvi, DS Weld arXiv preprint arXiv:1909.04054, 2019 | 116 | 2019 |
| Montague meets Markov: Deep semantics with probabilistic logical form I Beltagy, C Chau, G Boleda, D Garrette, K Erk, R Mooney 2nd Joint Conference on Lexical and Computational Semantics: *SEM 2013, 11-21, 2013 | 109 | 2013 |
| PRIMERA: Pyramid-based masked sentence pre-training for multi-document summarization W Xiao, I Beltagy, G Carenini, A Cohan arXiv preprint arXiv:2110.08499, 2021 | 108 | 2021 |
| A dataset of information-seeking questions and answers anchored in research papers P Dasigi, K Lo, I Beltagy, A Cohan, NA Smith, M Gardner arXiv preprint arXiv:2105.03011, 2021 | 88 | 2021 |
| Ms2: Multi-document summarization of medical studies J DeYoung, I Beltagy, M van Zuylen, B Kuehl, LL Wang arXiv preprint arXiv:2104.06486, 2021 | 81 | 2021 |
| Flex: Unifying evaluation for few-shot nlp J Bragg, A Cohan, K Lo, I Beltagy Advances in Neural Information Processing Systems 34, 15787-15800, 2021 | 78 | 2021 |
| Representing meaning with a combination of logical and distributional models I Beltagy, S Roller, P Cheng, K Erk, RJ Mooney Computational Linguistics, 2016 | 77 | 2016 |
| Probabilistic Soft Logic for Semantic Textual Similarity I Beltagy, K Erk, R Mooney Proceedings of Association for Computational Linguistics (ACL-14), 2014 | 72 | 2014 |
| Longformer: The long-document transformer. arXiv 2020 I Beltagy, ME Peters, A Cohan arXiv preprint arXiv:2004.05150, 1904 | 63 | 1904 |
| Few-shot self-rationalization with natural language prompts A Marasović, I Beltagy, D Downey, ME Peters arXiv preprint arXiv:2111.08284, 2021 | 60 | 2021 |
| Introducing CAD: the contextual abuse dataset B Vidgen, D Nguyen, H Margetts, P Rossini, R Tromble | 59 | 2021 |
