Asaf Yehudai

According to our database, Asaf Yehudai authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models.

Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Mayank Mishra, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi

CoRR, 2024

Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation.

Yotam Perlitz, Ariel Gera, Ofir Arviv, Asaf Yehudai, Elron Bandel, Eyal Shnarch, Michal Shmueli-Scheuer, Leshem Choshen

CoRR, 2024

A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns.

Asaf Yehudai, Taelin Karidi, Gabriel Stanovsky, Ariel Goldstein, Omri Abend

CoRR, 2024

When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classes.

Asaf Yehudai, Elron Bendel

CoRR, 2024

Genie: Achieving Human Parity in Content-Grounded Datasets Generation.

Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Assaf Toledo, Eyal Shnarch, Leshem Choshen

CoRR, 2024

FastFit: Fast and Effective Few-Shot Text Classification with a Multitude of Classes.

Asaf Yehudai, Elron Bandel

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

Achieving Human Parity in Content-Grounded Datasets Generation.

Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Eyal Shnarch, Leshem Choshen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

More Bang for your Context: Virtual Documents for Question Answering over Long Documents.

Yosi Mass, Boaz Carmeli, Asaf Yehudai, Assaf Toledo, Nathaniel Mills

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation.

Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Grounded Preference Model for LLM Alignment.

Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

QAID: Question Answering Inspired Few-shot Intent Detection.

Asaf Yehudai, Matan Vetzler, Yosi Mass, Koren Lazar, Doron Cohen, Boaz Carmeli

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Evaluating and Improving the Coreference Capabilities of Machine Translation Models.

Asaf Yehudai, Arie Cattan, Omri Abend, Gabriel Stanovsky

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Reinforcement Learning with Large Action Spaces for Neural Machine Translation.

Asaf Yehudai, Leshem Choshen, Lior Fox, Omri Abend

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval.

Yosi Mass, Doron Cohen, Asaf Yehudai, David Konopnicki

Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021

Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach.

Koren Lazar, Benny Saret, Asaf Yehudai, Wayne Horowitz, Nathan Wasserman, Gabriel Stanovsky

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021