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 | 34 | 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 | 20 | 2022 |
PreQuEL: Quality estimation of machine translation outputs in advance S Don-Yehiya, L Choshen, O Abend arXiv preprint arXiv:2205.09178, 2022 | 9 | 2022 |
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 | |
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 | 2 | 2023 |
Learning from Naturally Occurring Feedback S Don-Yehiya, L Choshen, O Abend arXiv preprint arXiv:2407.10944, 2024 | | 2024 |