Shachar Don-Yehiya

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Multiclass Support Vector Machines

Brazilian Portuguese

Quality Estimation

Multitask Learning

Top Venues

Publications

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 (2024)
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
Learning from Naturally Occurring Feedback. CoRR (2024)
Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz
Where to start? Analyzing the potential value of intermediate models. EMNLP (2023)
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney. CoRR (2023)
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney. EMNLP (2023)
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Leshem Choshen
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. ACL (1) (2023)
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance. EMNLP (2022)
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance. CoRR (2022)
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. CoRR (2022)
Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz
Where to start? Analyzing the potential value of intermediate models. CoRR (2022)