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2020 – today
- 2024
[c5]Elron Bandel, Yotam Perlitz, Elad Venezian, Roni Friedman, Ofir Arviv, Matan Orbach, Shachar Don-Yehiya, Dafna Sheinwald, Ariel Gera, Leshem Choshen, Michal Shmueli-Scheuer, Yoav Katz:
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. NAACL (Demonstrations) 2024: 207-215- [i8]Elron Bandel, Yotam Perlitz, Elad Venezian, Roni Friedman-Melamed, Ofir Arviv, Matan Orbach, Shachar Don-Yehiya, Dafna Sheinwald, Ariel Gera, Leshem Choshen, Michal Shmueli-Scheuer, Yoav Katz:
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. CoRR abs/2401.14019 (2024) - [i7]Shachar Don-Yehiya, Leshem Choshen, Omri Abend:
Learning from Naturally Occurring Feedback. CoRR abs/2407.10944 (2024) - [i6]Shachar Don-Yehiya, Leshem Choshen, Omri Abend:
The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community. CoRR abs/2408.08291 (2024) - [i5]Shachar Don-Yehiya, Ben Burtenshaw, Ramón Fernandez Astudillo, Cailean Osborne, Mimansa Jaiswal, Tzu-Sheng Kuo, Wenting Zhao, Idan Shenfeld, Andi Peng, Mikhail Yurochkin, Atoosa Kasirzadeh, Yangsibo Huang, Tatsunori Hashimoto, Yacine Jernite, Daniel Vila-Suero, Omri Abend, Jennifer Ding, Sara Hooker, Hannah Rose Kirk, Leshem Choshen:
The Future of Open Human Feedback. CoRR abs/2408.16961 (2024) - 2023
- [c4]Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Leshem Choshen:
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. ACL (1) 2023: 788-806 - [c3]Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz:
Where to start? Analyzing the potential value of intermediate models. EMNLP 2023: 1446-1470 - [c2]Shachar Don-Yehiya, Leshem Choshen, Omri Abend:
Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney. EMNLP 2023: 4146-4161 - [i4]Shachar Don-Yehiya, Leshem Choshen, Omri Abend:
Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney. CoRR abs/2311.12131 (2023) - 2022
- [c1]Shachar Don-Yehiya, Leshem Choshen, Omri Abend:
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance. EMNLP 2022: 11170-11183 - [i3]Shachar Don-Yehiya, Leshem Choshen, Omri Abend:
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance. CoRR abs/2205.09178 (2022) - [i2]Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz:
Where to start? Analyzing the potential value of intermediate models. CoRR abs/2211.00107 (2022) - [i1]Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen:
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. CoRR abs/2212.01378 (2022)
Coauthor Index
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