Підписатись
Zorik Gekhman
Zorik Gekhman
Google Research, Technion - Israel Institute of Technology
Підтверджена електронна адреса в google.com - Домашня сторінка
Назва
Посилання
Посилання
Рік
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Z Gekhman, G Yona, R Aharoni, M Eyal, A Feder, R Reichart, J Herzig
EMNLP 2024, 2024
792024
Trueteacher: Learning factual consistency evaluation with large language models
Z Gekhman, J Herzig, R Aharoni, C Elkind, I Szpektor
EMNLP 2023, 2023
692023
KoBE: knowledge-based machine translation evaluation
Z Gekhman, R Aharoni, G Beryozkin, M Freitag, W Macherey
EMNLP 2020, Findings, 2020
212020
On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method
Z Gekhman, N Oved, O Keller, I Szpektor, R Reichart
TACL 2023, 2022
162022
Red-ace: Robust error detection for asr using confidence embeddings
Z Gekhman, D Zverinski, J Mallinson, G Beryozkin
EMNLP 2022, 2022
122022
Llms know more than they show: On the intrinsic representation of llm hallucinations
H Orgad, M Toker, Z Gekhman, R Reichart, I Szpektor, H Kotek, ...
ICLR 2025, 2024
102024
Can LLMs Learn Macroeconomic Narratives from Social Media?
A Gueta, A Feder, Z Gekhman, A Goldstein, R Reichart
NAACL 2025, Findings, 2024
32024
Using Text Injection to Improve Recognition of Personal Identifiers in Speech
Y Blau, R Agrawal, L Madmony, G Wang, A Rosenberg, Z Chen, ...
INTERSPEECH 2023, 2023
32023
Measuring the Robustness of NLP Models to Domain Shifts
N Calderon, N Porat, E Ben-David, A Chapanin, Z Gekhman, N Oved, ...
EMNLP 2024, Findings, 2023
1*2023
Confidence Improves Self-Consistency in LLMs
A Taubenfeld, T Sheffer, E Ofek, A Feder, A Goldstein, Z Gekhman, ...
arXiv preprint arXiv:2502.06233, 2025
2025
CONSISTENCY EVALUATION FOR DOCUMENT SUMMARIES USING LANGUAGE MODEL NEURAL NETWORKS
Z Gekhman, J Herzig, R Aharoni, I Szpektor
US Patent App. 18/668,086, 2024
2024
NL-Eye: Abductive NLI for Images
M Ventura, M Toker, N Calderon, Z Gekhman, Y Bitton, R Reichart
ICLR 2025, 2024
2024
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