Shachar Don-Yehiya

According to our database, Shachar Don-Yehiya authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Future of Open Human Feedback.

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

CoRR, 2024

The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community.

Shachar Don-Yehiya, Leshem Choshen, Omri Abend

CoRR, 2024

Learning from Naturally Occurring Feedback.

Shachar Don-Yehiya, Leshem Choshen, Omri Abend

CoRR, 2024

Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI.

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

2023

Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney.

Shachar Don-Yehiya, Leshem Choshen, Omri Abend

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Where to start? Analyzing the potential value of intermediate models.

Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning.

Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Leshem Choshen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning.

Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen

CoRR, 2022

PreQuEL: Quality Estimation of Machine Translation Outputs in Advance.

Shachar Don-Yehiya, Leshem Choshen, Omri Abend

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022