| Heuristic-based inter-training with few-shot fine-tuning of machine learning networks B Sznajder, N Slonim, E Shnarch, G Lev, S Joshi, C Gunasekara US Patent App. 17/870,561, 2024 | | 2024 |
| Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis L Edelstein, Y Kantor, M Orbach, Y Katz, N Slonim, R Bar-Haim Conference on Empirical Methods in Natural Language Processing, 2023 | | 2023 |
| Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis L Eden, Y Kantor, M Orbach, Y Katz, N Slonim, R Bar-Haim Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
| Zero-shot Topical Text Classification with LLMs-an Experimental Study S Gretz, A Halfon, I Shnayderman, O Toledo-Ronen, A Spector, L Dankin, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 9647-9676, 2023 | | 2023 |
| nBIIG: a neural BI insights generation system for table reporting Y Perlitz, D Sheinwald, N Slonim, M Shmueli-Scheuer Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16470 …, 2023 | | 2023 |
| Efficient benchmarking (of language models) Y Perlitz, E Bandel, A Gera, O Arviv, L Ein-Dor, E Shnarch, N Slonim, ... arXiv preprint arXiv:2308.11696, 2023 | 9 | 2023 |
| Efficient methods for natural language processing: A survey M Treviso, JU Lee, T Ji, B Aken, Q Cao, MR Ciosici, M Hassid, K Heafield, ... Transactions of the Association for Computational Linguistics 11, 826-860, 2023 | 55 | 2023 |
| [TACL] Efficient Methods for Natural Language Processing: A Survey M Treviso, JU Lee, T Ji, B van Aken, Q Cao, M Ciosici, M Hassid, ... The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | | 2023 |
| Active learning for natural language generation Y Perlitz, A Gera, M Shmueli-Scheuer, D Sheinwald, N Slonim, L Ein-Dor arXiv preprint arXiv:2305.15040, 2023 | 2 | 2023 |
| Automated detection of reasoning in arguments A Gretz, E Cohen-Karlik, N Slonim, A Toledo US Patent 11,651,161, 2023 | 1 | 2023 |
| The benefits of bad advice: Autocontrastive decoding across model layers A Gera, R Friedman, O Arviv, C Gunasekara, B Sznajder, N Slonim, ... arXiv preprint arXiv:2305.01628, 2023 | 6 | 2023 |
| Inter-training of pre-trained transformer-based language models using partitioning and classification E Shnarch, G Ariel, A Halfon, L Dankin, L Choshen, R Aharonov, ... US Patent App. 17/474,364, 2023 | | 2023 |
| Knowledge is a region in weight space for fine-tuned language models A Gueta, E Venezian, C Raffel, N Slonim, Y Katz, L Choshen arXiv preprint arXiv:2302.04863, 2023 | 22 | 2023 |
| 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, e40533, 2023 | 11 | 2023 |
| SimpleStyle: An Adaptable Style Transfer Approach E Bandel, Y Katz, N Slonim, L Ein-Dor arXiv preprint arXiv:2212.10498, 2022 | | 2022 |
| Cold fusion: Collaborative descent for distributed multitask finetuning S Don-Yehiya, E Venezian, C Raffel, N Slonim, Y Katz, L Choshen arXiv preprint arXiv:2212.01378, 2022 | 26 | 2022 |
| 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 |
| Where to start? analyzing the potential value of intermediate models L Choshen, E Venezian, S Don-Yehia, N Slonim, Y Katz arXiv preprint arXiv:2211.00107, 2022 | 18 | 2022 |
| Zero-shot text classification with self-training A Gera, A Halfon, E Shnarch, Y Perlitz, L Ein-Dor, N Slonim arXiv preprint arXiv:2210.17541, 2022 | 24 | 2022 |
| Quantitative comment summarization R Bar-Haim, E Lilach, Y Kantor, N Slonim US Patent App. 17/240,550, 2022 | 1 | 2022 |
Nir FriedmanProfessor of Computer Science and Medicine, Hebrew UniversityVerified email at mail.huji.ac.il
