Eyal Ben-David

According to our database, Eyal Ben-David authored at least 20 papers between 2019 and 2025.

Collaborative distances:

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

2025

AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation.

Itay Nakash, Nitay Calderon, Eyal Ben-David, Elad Hoffer, Roi Reichart

CoRR, March, 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

Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models.

Mor Ventura, Eyal Ben-David, Anna Korhonen, Roi Reichart

Trans. Assoc. Comput. Linguistics, 2025

2024

CoverBench: A Challenging Benchmark for Complex Claim Verification.

Alon Jacovi, Moran Ambar, Eyal Ben-David, Uri Shaham, Amir Feder, Mor Geva, Dror Marcus, Avi Caciularu

CoRR, 2024

TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools.

Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Text2Model: Text-based Model Induction for Zero-shot Image Classification.

Ohad Amosy, Tomer Volk, Eilam Shapira, Eyal Ben-David, Roi Reichart, Gal Chechik

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

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

Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains.

Tomer Volk, Eyal Ben-David, Ohad Amosy, Gal Chechik, Roi Reichart

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains.

Eyal Ben-David, Nadav Oved, Roi Reichart

Trans. Assoc. Comput. Linguistics, 2022

Text2Model: Model Induction for Zero-shot Generalization Using Task Descriptions.

Ohad Amosy, Tomer Volk, Eyal Ben-David, Roi Reichart, Gal Chechik

CoRR, 2022

Domain Adaptation from Scratch.

Eyal Ben-David, Yftah Ziser, Roi Reichart

CoRR, 2022

IDANI: Inference-time Domain Adaptation via Neuron-level Interventions.

Omer Antverg, Eyal Ben-David, Yonatan Belinkov

CoRR, 2022

Example-based Hypernetworks for Out-of-Distribution Generalization.

Tomer Volk, Eyal Ben-David, Ohad Amosy, Gal Chechik, Roi Reichart

CoRR, 2022

DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation.

Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead.

Eyal Ben-David, Boaz Carmeli, Ateret Anaby-Tavor

CoRR, 2021

PADA: A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains.

Eyal Ben-David, Nadav Oved, Roi Reichart

CoRR, 2021

2020

PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models.

Eyal Ben-David, Carmel Rabinovitz, Roi Reichart

Trans. Assoc. Comput. Linguistics, 2020

Semantically Driven Sentence Fusion: Modeling and Evaluation.

Eyal Ben-David, Orgad Keller, Eric Malmi, Idan Szpektor, Roi Reichart

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

2019

Three-dimensional propagation and time-reversal of fluorescence images.

Yichen Wu, Yair Rivenson, Hongda Wang, Yilin Luo, Eyal Ben-David, Aydogan Ozcan

CoRR, 2019