no code implementations • dialdoc (ACL) 2022 • Yosi Mass, Doron Cohen, Asaf Yehudai, David Konopnicki
We deal with the scenario of conversational search, where user queries are under-specified or ambiguous.
1 code implementation • 18 Apr 2024 • Asaf Yehudai, Elron Bendel
We present FastFit, a method, and a Python package design to provide fast and accurate few-shot classification, especially for scenarios with many semantically similar classes.
no code implementations • 25 Jan 2024 • Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Assaf Toledo, Eyal Shnarch, Leshem Choshen
Furthermore, we compare models trained on our data with models trained on human-written data -- ELI5 and ASQA for LFQA and CNN-DailyMail for Summarization.
no code implementations • 2 Mar 2023 • Asaf Yehudai, Matan Vetzler, Yosi Mass, Koren Lazar, Doron Cohen, Boaz Carmeli
Intent detection with semantically similar fine-grained intents is a challenging task.
no code implementations • 16 Feb 2023 • Asaf Yehudai, Arie Cattan, Omri Abend, Gabriel Stanovsky
Machine translation (MT) requires a wide range of linguistic capabilities, which current end-to-end models are expected to learn implicitly by observing aligned sentences in bilingual corpora.
no code implementations • COLING 2022 • Asaf Yehudai, Leshem Choshen, Lior Fox, Omri Abend
Applying Reinforcement learning (RL) following maximum likelihood estimation (MLE) pre-training is a versatile method for enhancing neural machine translation (NMT) performance.
no code implementations • 14 Dec 2021 • Yosi Mass, Doron Cohen, Asaf Yehudai, David Konopnicki
We deal with the scenario of conversational search, where user queries are under-specified or ambiguous.
1 code implementation • EMNLP 2021 • Koren Lazar, Benny Saret, Asaf Yehudai, Wayne Horowitz, Nathan Wasserman, Gabriel Stanovsky
We present models which complete missing text given transliterations of ancient Mesopotamian documents, originally written on cuneiform clay tablets (2500 BCE - 100 CE).