| An autonomous debating system N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ... Nature 591 (7850), 379-384, 2021 | 228 | 2021 |
| Multimodalqa: Complex question answering over text, tables and images A Talmor, O Yoran, A Catav, D Lahav, Y Wang, A Asai, G Ilharco, ... ICLR 2021, 2021 | 131 | 2021 |
| A large-scale dataset for argument quality ranking: Construction and analysis S Gretz, R Friedman, E Cohen-Karlik, A Toledo, D Lahav, R Aharonov, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7805-7813, 2020 | 129 | 2020 |
| From arguments to key points: Towards automatic argument summarization R Bar-Haim, L Eden, R Friedman, Y Kantor, D Lahav, N Slonim ACL 2020, 2020 | 109 | 2020 |
| Automatic Argument Quality Assessment--New Datasets and Methods A Toledo, S Gretz, E Cohen-Karlik, R Friedman, E Venezian, D Lahav, ... EMNLP 2019, 2019 | 97 | 2019 |
| Quantitative argument summarization and beyond: Cross-domain key point analysis R Bar-Haim, Y Kantor, L Eden, R Friedman, D Lahav, N Slonim EMNLP 2020, 2020 | 47 | 2020 |
| A Search Engine for Discovery of Scientific Challenges and Directions D Lahav, JS Falcon, B Kuehl, S Johnson, S Parasa, N Shomron, DH Chau, ... AAAI 2022, 2021 | 31 | 2021 |
| Predicting bloodstream infection outcome using machine learning Y Zoabi, O Kehat, D Lahav, A Weiss-Meilik, A Adler, N Shomron Scientific reports 11 (1), 20101, 2021 | 30 | 2021 |
| Argument invention from first principles Y Bilu, A Gera, D Hershcovich, B Sznajder, D Lahav, G Moshkowich, ... ACL 2019, 2019 | 27 | 2019 |
| Interactive extractive search over biomedical corpora HT Tabib, M Shlain, S Sadde, D Lahav, M Eyal, Y Cohen, Y Goldberg Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing …, 2020 | 26 | 2020 |
| Out of the echo chamber: Detecting countering debate speeches M Orbach, Y Bilu, A Toledo, D Lahav, M Jacovi, R Aharonov, N Slonim ACL 2020, 2020 | 23 | 2020 |
| Usability and credibility of a COVID-19 vaccine chatbot for young adults and health workers in the United States: formative mixed methods study R Weeks, P Sangha, L Cooper, J Sedoc, S White, S Gretz, A Toledo, ... JMIR human factors 10 (1), e40533, 2023 | 16 | 2023 |
| Chatbot-delivered COVID-19 vaccine communication message preferences of young adults and public health workers in urban American communities: qualitative study R Weeks, L Cooper, P Sangha, J Sedoc, S White, A Toledo, S Gretz, ... Journal of medical Internet research 24 (7), e38418, 2022 | 14 | 2022 |
| Benchmark data and evaluation framework for intent discovery around COVID-19 vaccine hesitancy S Gretz, A Toledo, R Friedman, D Lahav, R Weeks, N Bar-Zeev, J Sedoc, ... arXiv preprint arXiv:2205.11966, 2022 | 9 | 2022 |
| Interactive extractive search over biomedical corpora H Taub-Tabib, M Shlain, S Sadde, D Lahav, M Eyal, Y Cohen, Y Goldberg arXiv preprint arXiv:2006.04148, 2020 | 8 | 2020 |
| Securing Artificial Intelligence Model Weights: Interim Report S Nevo, D Lahav, A Karpur, J Alstott, J Matheny RAND Corporation, 2023 | 6 | 2023 |
| Securing AI Model Weights: Preventing Theft and Misuse of Frontier Models S Nevo, D Lahav, A Karpur, Y Bar-On, HA Bradley Rand Corporation, 2024 | 5 | 2024 |
| Piloting a COVID-19 vaccine chatbot with young adults and health workers in the US to validate usability, credibility, and intention to use. R Weeks, P Sangha, L Cooper, J Sedoc, S White, S Gretz, A Toledo, ... JMIR Human Factors, 2022 | 1 | 2022 |
| Securing AI Model Weights: Preventing Theft and Misuse of Frontier Models D Lahav, S Nevo, HA Bradley, J Alstott, A Karpur, Y Bar-On < bound method Organization. get_name_with_acronym of< Organization: RAND …, 2024 | | 2024 |
| Securing AI Model Weights S NEVO, DAN LAHAV, A KARPUR, Y BAR-ON, HA BRADLEY, ... | | 2024 |
Noam SlonimDistinguished Engineer at IBM Research在 il.ibm.com 的电子邮件经过验证
