Publications

2025

The Future of Open Human Feedback
Shachar Don-Yehiya, Ben Burtenshaw, R. Astudillo, Cailean Osborne, Mimansa Jaiswal, Tzu-Sheng Kuo, Wenting Zhao, Idan Shenfeld, Andi Peng, M. Yurochkin, Atoosa Kasirzadeh, Yangsibo Huang, Tatsunori Hashimoto, Yacine Jernite, Daniel Vila-Suero, Omri Abend, Jennifer Ding, Sara Hooker, Hannah Rose Kirk, Leshem Choshen
Natrue Machine Intelligence [Paper]

The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community
Shachar Don-Yehiya, Leshem Choshen, and Omri Abend.
ACL [Paper]

2024

Naturally Occurring Feedback is Common, Extractable and Useful
Shachar Don-Yehiya, Leshem Choshen, and Omri Abend.
Arxiv [Paper]

Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI
Elron Bandel, Yotam Perlitz, Elad Venezian, Roni Friedman-Melamed, Ofir Arviv, Matan Orbach, Shachar Don-Yehyia, Dafna Sheinwald, Ariel Gera, Michal Shmueli-Scheuer, Leshem Choshen, and Yoav Katz.
NAACL [Paper]

2023

Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney
Shachar Don-Yehiya, Leshem Choshen, and Omri Abend.
EMNLP [Paper]

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, and Leshem Choshen.
ACL [Paper]

Where to start? Analyzing the potential value of intermediate models
Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, and Yoav Katz.
EMNLP [Paper]

2022

PreQuEL: Quality Estimation of Machine Translation Outputs in Advance
Shachar Don-Yehiya, Leshem Choshen, and Omri Abend.
EMNLP [Paper]