| Linformer: Self-attention with linear complexity S Wang, BZ Li, M Khabsa, H Fang, H Ma arXiv preprint arXiv:2006.04768, 2020 | 1044 | 2020 |
| Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 902 | 2023 |
| The number of scholarly documents on the public web M Khabsa, CL Giles PloS one 9 (5), e93949, 2014 | 439 | 2014 |
| The CHEMDNER corpus of chemicals and drugs and its annotation principles M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ... Journal of cheminformatics 7 (1), 1-17, 2015 | 300 | 2015 |
| Clear: Contrastive learning for sentence representation Z Wu, S Wang, J Gu, M Khabsa, F Sun, H Ma arXiv preprint arXiv:2012.15466, 2020 | 279 | 2020 |
| Entailment as few-shot learner S Wang, H Fang, M Khabsa, H Mao, H Ma arXiv preprint arXiv:2104.14690, 2021 | 149 | 2021 |
| Citeseerx: Ai in a digital library search engine J Wu, KM Williams, HH Chen, M Khabsa, C Caragea, S Tuarob, ... AI Magazine 36 (3), 35-48, 2015 | 145 | 2015 |
| Rayyan: a systematic reviews web app for exploring and filtering searches for eligible studies for Cochrane Reviews A Elmagarmid, Z Fedorowicz, H Hammady, I Ilyas, M Khabsa, M Ouzzani Evidence-informed public health: opportunities and challenges. Abstracts of …, 2014 | 94 | 2014 |
| Self-attention with linear complexity S Wang, BZ Li, M Khabsa, H Fang, HL Ma arXiv preprint arXiv:2006.04768 8, 2020 | 89 | 2020 |
| Learning to identify relevant studies for systematic reviews using random forest and external information M Khabsa, A Elmagarmid, I Ilyas, H Hammady, M Ouzzani Machine Learning 102, 465-482, 2016 | 83 | 2016 |
| Unipelt: A unified framework for parameter-efficient language model tuning Y Mao, L Mathias, R Hou, A Almahairi, H Ma, J Han, W Yih, M Khabsa arXiv preprint arXiv:2110.07577, 2021 | 78 | 2021 |
| Towards building a scholarly big data platform: Challenges, lessons and opportunities Z Wu, J Wu, M Khabsa, K Williams, HH Chen, W Huang, S Tuarob, ... IEEE/ACM Joint Conference on Digital Libraries, 117-126, 2014 | 74 | 2014 |
| Scholarly big data information extraction and integration in the CiteSeerχ digital library K Williams, J Wu, SR Choudhury, M Khabsa, CL Giles 2014 IEEE 30th international conference on data engineering workshops, 68-73, 2014 | 72 | 2014 |
| Building natural language interfaces to web apis Y Su, AH Awadallah, M Khabsa, P Pantel, M Gamon, M Encarnacion Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 67 | 2017 |
| Language models as fact checkers? N Lee, BZ Li, S Wang, W Yih, H Ma, M Khabsa arXiv preprint arXiv:2006.04102, 2020 | 62 | 2020 |
| Ackseer: a repository and search engine for automatically extracted acknowledgments from digital libraries M Khabsa, P Treeratpituk, CL Giles Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries …, 2012 | 61 | 2012 |
| Detecting good abandonment in mobile search K Williams, J Kiseleva, AC Crook, I Zitouni, AH Awadallah, M Khabsa Proceedings of the 25th International Conference on World Wide Web, 495-505, 2016 | 59 | 2016 |
| Online person name disambiguation with constraints M Khabsa, P Treeratpituk, CL Giles Proceedings of the 15th acm/ieee-cs joint conference on digital libraries, 37-46, 2015 | 45 | 2015 |
| Llama 2: Open foundation and finetuned chat models. CoRR, abs/2307.09288, 2023b. doi: 10.48550 H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv.2307.09288, 6-12, 0 | 43 | |
| Towards few-shot fact-checking via perplexity N Lee, Y Bang, A Madotto, M Khabsa, P Fung arXiv preprint arXiv:2103.09535, 2021 | 42 | 2021 |
C Lee GilesPennsylvania State UniversityBestätigte E-Mail-Adresse bei psu.edu
