Active learning for BERT: an empirical study LE Dor, A Halfon, A Gera, E Shnarch, L Dankin, L Choshen, M Danilevsky, ... Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 256 | 2020 |
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 | 248 | 2021 |
Constraint-based random stimuli generation for hardware verification Y Naveh, M Rimon, I Jaeger, Y Katz, M Vinov, E s Marcu, G Shurek AI magazine 28 (3), 13-13, 2007 | 167 | 2007 |
X-Gen: A random test-case generator for systems and SoCs R Emek, I Jaeger, Y Naveh, G Bergman, G Aloni, Y Katz, M Farkash, ... Seventh IEEE International High-Level Design Validation and Test Workshop …, 2002 | 82 | 2002 |
Fusing finetuned models for better pretraining L Choshen, E Venezian, N Slonim, Y Katz arXiv preprint arXiv:2204.03044, 2022 | 66 | 2022 |
Modeling language and method for address translation design mechanisms in test generation A Koyfman, A Adir, R Emek, Y Katz, M Vinov US Patent 7,370,296, 2008 | 55 | 2008 |
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 | 51 | 2022 |
Learning microarchitectural behaviors to improve stimuli generation quality Y Katz, M Rimon, A Ziv, G Shaked Proceedings of the 48th Design Automation Conference, 848-853, 2011 | 49 | 2011 |
Throughput maximization of real-time scheduling with batching A Bar-Noy, S Guha, Y Katz, J Naor, B Schieber, H Shachnai ACM Transactions on Algorithms (TALG) 5 (2), 1-17, 2009 | 49 | 2009 |
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 | 47 | 2023 |
Learning to combine grammatical error corrections Y Kantor, Y Katz, L Choshen, E Cohen-Karlik, N Liberman, A Toledo, ... arXiv preprint arXiv:1906.03897, 2019 | 44 | 2019 |
Financial event extraction using Wikipedia-based weak supervision L Ein-Dor, A Gera, O Toledo-Ronen, A Halfon, B Sznajder, L Dankin, ... arXiv preprint arXiv:1911.10783, 2019 | 30 | 2019 |
System and method and product of manufacture for automated test generation via constraint satisfaction with duplicated sub-problems R Emek, I Jaeger, Y Katz US Patent 7,266,534, 2007 | 29 | 2007 |
Generating instruction streams using abstract CSP Y Katz, M Rimon, A Ziv 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE), 15-20, 2012 | 27 | 2012 |
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 | 26 | 2022 |
Project debater APIs: Decomposing the AI grand challenge R Bar-Haim, Y Kantor, E Venezian, Y Katz, N Slonim arXiv preprint arXiv:2110.01029, 2021 | 25 | 2021 |
From surrogacy to adoption; from bitcoin to cryptocurrency: Debate topic expansion R Bar-Haim, D Krieger, O Toledo-Ronen, L Edelstein, Y Bilu, A Halfon, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 23 | 2019 |
Label sleuth: From unlabeled text to a classifier in a few hours E Shnarch, A Halfon, A Gera, M Danilevsky, Y Katsis, L Choshen, ... arXiv preprint arXiv:2208.01483, 2022 | 21 | 2022 |
Determining compliance rates for probabilistic requests S Copty, R Emek, I Jaeger, Y Katz, S Lubliner US Patent 7,415,444, 2008 | 21 | 2008 |
DeepTrans-a model-based approach to functional verification of address translation mechanisms A Adir, R Emek, Y Katz, A Koyfman Proceedings. 4th International Workshop on Microprocessor Test and …, 2003 | 21 | 2003 |