Zorik Gekhman

According to our database, Zorik Gekhman authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

Why Fine-Tuning Encourages Hallucinations and How to Fix It.

Guy Kaplan, Zorik Gekhman, Zhen Zhu, Lotem Rozner, Yuval Reif, Swabha Swayamdipta, Derek Hoiem, Roy Schwartz

CoRR, April, 2026

Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs.

Zorik Gekhman, Roee Aharoni, Eran Ofek, Mor Geva, Roi Reichart, Jonathan Herzig

CoRR, March, 2026

Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality.

Nitay Calderon, Eyal Ben-David, Zorik Gekhman, Eran Ofek, Gal Yona

CoRR, February, 2026

Evaluating Alignment of Behavioral Dispositions in LLMs.

Amir Taubenfeld, Zorik Gekhman, Lior Nezry, Omri Feldman, Natalie Harris, Shashir Reddy, Romina Stella, Ariel Goldstein, Marian Croak, Yossi Matias, Amir Feder

CoRR, February, 2026

2025

HACK: Hallucinations Along Certainty and Knowledge Axes.

Adi Simhi, Jonathan Herzig, Itay Itzhak, Dana Arad, Zorik Gekhman, Roi Reichart, Fazl Barez, Gabriel Stanovsky, Idan Szpektor, Yonatan Belinkov

CoRR, October, 2025

Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs.

Yehonatan Peisakhovsky, Zorik Gekhman, Yosi Mass, Liat Ein-Dor, Roi Reichart

CoRR, September, 2025

Inside-Out: Hidden Factual Knowledge in LLMs.

Zorik Gekhman, Eyal Ben-David, Hadas Orgad, Eran Ofek, Yonatan Belinkov, Idan Szpektor, Jonathan Herzig, Roi Reichart

CoRR, March, 2025

Can LLMs Learn Macroeconomic Narratives from Social Media?

Almog Gueta, Amir Feder, Zorik Gekhman, Ariel Goldstein, Roi Reichart

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

NL-Eye: Abductive NLI For Images.

Mor Ventura, Michael Toker, Nitay Calderon, Zorik Gekhman, Yonatan Bitton, Roi Reichart

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations.

Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Confidence Improves Self-Consistency in LLMs.

Amir Taubenfeld, Tom Sheffer, Eran Ofek, Amir Feder, Ariel Goldstein, Zorik Gekhman, Gal Yona

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig

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

Measuring the Robustness of NLP Models to Domain Shifts.

Nitay Calderon, Naveh Porat, Eyal Ben-David, Alexander Chapanin, Zorik Gekhman, Nadav Oved, Vitaly Shalumov, Roi Reichart

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

2023

On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method.

Zorik Gekhman, Nadav Oved, Orgad Keller, Idan Szpektor, Roi Reichart

Trans. Assoc. Comput. Linguistics, 2023

Measuring the Robustness of Natural Language Processing Models to Domain Shifts.

Nitay Calderon, Naveh Porat, Eyal Ben-David, Zorik Gekhman, Nadav Oved, Roi Reichart

CoRR, 2023

Using Text Injection to Improve Recognition of Personal Identifiers in Speech.

Yochai Blau, Rohan Agrawal, Lior Madmony, Gary Wang, Andrew Rosenberg, Zhehuai Chen, Zorik Gekhman, Genady Beryozkin, Parisa Haghani, Bhuvana Ramabhadran

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models.

Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

RED-ACE: Robust Error Detection for ASR using Confidence Embeddings.

Zorik Gekhman, Dina Zverinski, Jonathan Mallinson, Genady Beryozkin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

KoBE: Knowledge-Based Machine Translation Evaluation.

Zorik Gekhman, Roee Aharoni, Genady Beryozkin, Markus Freitag, Wolfgang Macherey

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020