| 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 | 103 | 2023 |
| Textually pretrained speech language models M Hassid, T Remez, TA Nguyen, I Gat, A Conneau, F Kreuk, J Copet, ... Advances in Neural Information Processing Systems 36, 2024 | 48 | 2024 |
| Expresso: A benchmark and analysis of discrete expressive speech resynthesis TA Nguyen, WN Hsu, A d'Avirro, B Shi, I Gat, M Fazel-Zarani, T Remez, ... arXiv preprint arXiv:2308.05725, 2023 | 40 | 2023 |
| Transformers are multi-state rnns M Oren, M Hassid, Y Adi, R Schwartz arXiv preprint arXiv:2401.06104, 2024 | 30 | 2024 |
| How much does attention actually attend? questioning the importance of attention in pretrained transformers M Hassid, H Peng, D Rotem, J Kasai, I Montero, NA Smith, R Schwartz arXiv preprint arXiv:2211.03495, 2022 | 27 | 2022 |
| More than words: In-the-wild visually-driven prosody for text-to-speech M Hassid, MT Ramanovich, B Shillingford, M Wang, Y Jia, T Remez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 16 | 2022 |
| The Larger the Better? Improved LLM Code-Generation via Budget Reallocation M Hassid, T Remez, J Gehring, R Schwartz, Y Adi arXiv preprint arXiv:2404.00725, 2024 | 12 | 2024 |
| Finding the sweet spot: Analysis and improvement of adaptive inference in low resource settings D Rotem, M Hassid, J Mamou, R Schwartz arXiv preprint arXiv:2306.02307, 2023 | 5 | 2023 |
| Method and system for text-to-speech synthesis of streaming text M Hassid, S CADURI, N Bar, C Danielle, B Schlesinger, ... WO Patent 2,022,093,192, 2022 | | 2022 |
Roy SchwartzSenior lecturer, the School of Computer Science, the Hebrew University of Jerusalemכתובת אימייל מאומתת בדומיין mail.huji.ac.il
