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Zorik Gekhman
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2020 – today
- 2024
- [c6]Nitay Calderon, Naveh Porat, Eyal Ben-David, Alexander Chapanin, Zorik Gekhman, Nadav Oved, Vitaly Shalumov, Roi Reichart:
Measuring the Robustness of NLP Models to Domain Shifts. EMNLP (Findings) 2024: 126-154 - [c5]Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig:
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP 2024: 7765-7784 - [i10]Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig:
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? CoRR abs/2405.05904 (2024) - [i9]Almog Gueta, Amir Feder, Zorik Gekhman, Ariel Goldstein, Roi Reichart:
Can LLMs Learn Macroeconomic Narratives from Social Media? CoRR abs/2406.12109 (2024) - [i8]Mor Ventura, Michael Toker, Nitay Calderon, Zorik Gekhman, Yonatan Bitton, Roi Reichart:
NL-Eye: Abductive NLI for Images. CoRR abs/2410.02613 (2024) - [i7]Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov:
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations. CoRR abs/2410.02707 (2024) - 2023
- [j1]Zorik Gekhman, Nadav Oved, Orgad Keller, Idan Szpektor, Roi Reichart:
On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method. Trans. Assoc. Comput. Linguistics 11: 351-366 (2023) - [c4]Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor:
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. EMNLP 2023: 2053-2070 - [c3]Yochai Blau, Rohan Agrawal, Lior Madmony, Gary Wang, Andrew Rosenberg, Zhehuai Chen, Zorik Gekhman, Genady Beryozkin, Parisa Haghani, Bhuvana Ramabhadran:
Using Text Injection to Improve Recognition of Personal Identifiers in Speech. INTERSPEECH 2023: 191-195 - [i6]Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor:
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. CoRR abs/2305.11171 (2023) - [i5]Nitay Calderon, Naveh Porat, Eyal Ben-David, Zorik Gekhman, Nadav Oved, Roi Reichart:
Measuring the Robustness of Natural Language Processing Models to Domain Shifts. CoRR abs/2306.00168 (2023) - [i4]Yochai Blau, Rohan Agrawal, Lior Madmony, Gary Wang, Andrew Rosenberg, Zhehuai Chen, Zorik Gekhman, Genady Beryozkin, Parisa Haghani, Bhuvana Ramabhadran:
Using Text Injection to Improve Recognition of Personal Identifiers in Speech. CoRR abs/2308.07393 (2023) - 2022
- [c2]Zorik Gekhman, Dina Zverinski, Jonathan Mallinson, Genady Beryozkin:
RED-ACE: Robust Error Detection for ASR using Confidence Embeddings. EMNLP 2022: 2800-2808 - [i3]Zorik Gekhman, Dina Zverinski, Jonathan Mallinson, Genady Beryozkin:
RED-ACE: Robust Error Detection for ASR using Confidence Embeddings. CoRR abs/2203.07172 (2022) - [i2]Zorik Gekhman, Nadav Oved, Orgad Keller, Idan Szpektor, Roi Reichart:
On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method. CoRR abs/2206.14796 (2022) - 2020
- [c1]Zorik Gekhman, Roee Aharoni, Genady Beryozkin, Markus Freitag, Wolfgang Macherey:
KoBE: Knowledge-Based Machine Translation Evaluation. EMNLP (Findings) 2020: 3200-3207 - [i1]Zorik Gekhman, Roee Aharoni, Genady Beryozkin, Markus Freitag, Wolfgang Macherey:
KoBE: Knowledge-Based Machine Translation Evaluation. CoRR abs/2009.11027 (2020)
Coauthor Index
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