| 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 | 2283* | 2019 |
| Longformer: The long-document transformer I Beltagy, ME Peters, A Cohan arXiv preprint arXiv:2004.05150, 2020 | 1996 | 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 | 1342 | 2020 |
| ScispaCy: fast and robust models for biomedical natural language processing M Neumann, D King, I Beltagy, W Ammar arXiv preprint arXiv:1902.07669, 2019 | 504 | 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 | 359 | 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 | 246 | 2020 |
| Bloom: A 176b-parameter open-access multilingual language model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022 | 199 | 2022 |
| 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 | 114 | 2018 |
| 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 | 110 | 2013 |
| Scirex: A challenge dataset for document-level information extraction S Jain, M Van Zuylen, H Hajishirzi, I Beltagy arXiv preprint arXiv:2005.00512, 2020 | 91 | 2020 |
| Pretrained language models for sequential sentence classification A Cohan, I Beltagy, D King, B Dalvi, DS Weld arXiv preprint arXiv:1909.04054, 2019 | 90 | 2019 |
| Representing meaning with a combination of logical and distributional models I Beltagy, S Roller, P Cheng, K Erk, RJ Mooney Computational Linguistics, 2016 | 74 | 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 |
| 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 | 61 | 2021 |
| Primer: Pyramid-based masked sentence pre-training for multi-document summarization W Xiao, I Beltagy, G Carenini, A Cohan arXiv preprint arXiv:2110.08499, 2021 | 61 | 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 | 61 | 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 | 53 | 2021 |
| A new routing metric and protocol for multipath routing in cognitive networks I Beltagy, M Youssef, M El-Derini Wireless Communications and Networking Conference (WCNC), 2011 IEEE, 974-979, 2011 | 46 | 2011 |
| Introducing CAD: the contextual abuse dataset B Vidgen, D Nguyen, H Margetts, P Rossini, R Tromble Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 39 | 2021 |
| Combining Distant and Direct Supervision for Neural Relation Extraction I Beltagy, K Lo, W Ammar Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 39* | 2019 |
