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Asaf Yehudai
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Conference and Workshop Papers
- 2024
- [c7]Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar:
A Grounded Preference Model for LLM Alignment. ACL (Findings) 2024: 151-162 - [c6]Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Eyal Shnarch, Leshem Choshen:
Achieving Human Parity in Content-Grounded Datasets Generation. ICLR 2024 - 2023
- [c5]Asaf Yehudai, Arie Cattan, Omri Abend, Gabriel Stanovsky:
Evaluating and Improving the Coreference Capabilities of Machine Translation Models. EACL 2023: 980-992 - [c4]Asaf Yehudai, Matan Vetzler, Yosi Mass, Koren Lazar, Doron Cohen, Boaz Carmeli:
QAID: Question Answering Inspired Few-shot Intent Detection. ICLR 2023 - 2022
- [c3]Yosi Mass, Doron Cohen, Asaf Yehudai, David Konopnicki:
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval. DialDoc@ACL 2022: 65-71 - [c2]Asaf Yehudai, Leshem Choshen, Lior Fox, Omri Abend:
Reinforcement Learning with Large Action Spaces for Neural Machine Translation. COLING 2022: 4544-4556 - 2021
- [c1]Koren Lazar, Benny Saret, Asaf Yehudai, Wayne Horowitz, Nathan Wasserman, Gabriel Stanovsky:
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach. EMNLP (1) 2021: 4682-4691
Informal and Other Publications
- 2024
- [i10]Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Assaf Toledo, Eyal Shnarch, Leshem Choshen:
Genie: Achieving Human Parity in Content-Grounded Datasets Generation. CoRR abs/2401.14367 (2024) - [i9]Asaf Yehudai, Elron Bendel:
When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classes. CoRR abs/2404.12365 (2024) - [i8]Asaf Yehudai, Taelin Karidi, Gabriel Stanovsky, Ariel Goldstein, Omri Abend:
A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns. CoRR abs/2405.14863 (2024) - [i7]Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky:
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation. CoRR abs/2406.00787 (2024) - [i6]Yotam Perlitz, Ariel Gera, Ofir Arviv, Asaf Yehudai, Elron Bandel, Eyal Shnarch, Michal Shmueli-Scheuer, Leshem Choshen:
Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation. CoRR abs/2407.13696 (2024) - 2023
- [i5]Asaf Yehudai, Arie Cattan, Omri Abend, Gabriel Stanovsky:
Evaluating and Improving the Coreference Capabilities of Machine Translation Models. CoRR abs/2302.08464 (2023) - [i4]Asaf Yehudai, Matan Vetzler, Yosi Mass, Koren Lazar, Doron Cohen, Boaz Carmeli:
QAID: Question Answering Inspired Few-shot Intent Detection. CoRR abs/2303.01593 (2023) - 2022
- [i3]Asaf Yehudai, Leshem Choshen, Lior Fox, Omri Abend:
Reinforcement Learning with Large Action Spaces for Neural Machine Translation. CoRR abs/2210.03053 (2022) - 2021
- [i2]Koren Lazar, Benny Saret
, Asaf Yehudai, Wayne Horowitz, Nathan Wasserman, Gabriel Stanovsky:
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach. CoRR abs/2109.04513 (2021) - [i1]Yosi Mass, Doron Cohen, Asaf Yehudai, David Konopnicki:
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval. CoRR abs/2112.07308 (2021)
Coauthor Index
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