| 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 |
| 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 | 25 | 2022 |
| PreQuEL: Quality estimation of machine translation outputs in advance S Don-Yehiya, L Choshen, O Abend arXiv preprint arXiv:2205.09178, 2022 | 12 | 2022 |
| Unitxt: Flexible, shareable and reusable data preparation and evaluation for generative ai E Bandel, Y Perlitz, E Venezian, R Friedman-Melamed, O Arviv, M Orbach, ... arXiv preprint arXiv:2401.14019, 2024 | 5 | 2024 |
| Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney S Don-Yehiya, L Choshen, O Abend arXiv preprint arXiv:2311.12131, 2023 | 5 | 2023 |
| Cold fusion: Collaborative descent for distributed multitask finetuning, 2022 S Don-Yehiya, E Venezian, C Raffel, N Slonim, Y Katz, L Choshen URL https://arxiv. org/abs/2212.01378, 0 | 5 | |
| The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community S Don-Yehiya, L Choshen, O Abend arXiv preprint arXiv:2408.08291, 2024 | 1 | 2024 |
| BASE MODEL SELECTION FOR FINETUNING L Choshen, E Venezian, SB Don-yehiya, YA Katz, N Slonim US Patent App. 18/350,269, 2025 | | 2025 |
| The Future of Open Human Feedback S Don-Yehiya, B Burtenshaw, RF Astudillo, C Osborne, M Jaiswal, ... arXiv preprint arXiv:2408.16961, 2024 | | 2024 |
| Learning from Naturally Occurring Feedback S Don-Yehiya, L Choshen, O Abend arXiv preprint arXiv:2407.10944, 2024 | | 2024 |
