Three-dimensional propagation and time-reversal of fluorescence images. - Yichen Wu; Yair Rivenson; Hongda Wang; Yilin Luo; Eyal Ben-David; Aydogan Ozcan (CoRR, 2019)

Semantically Driven Sentence Fusion: Modeling and Evaluation. - Eyal Ben-David; Orgad Keller; Eric Malmi; Idan Szpektor; Roi Reichart (EMNLP (Findings), 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)

PADA: A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains. - Eyal Ben-David; Nadav Oved; Roi Reichart (CoRR, 2021)

Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead. - Eyal Ben-David; Boaz Carmeli; Ateret Anaby-Tavor (CoRR, 2021)

DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. - Nitay Calderon; Eyal Ben-David; Amir Feder; Roi Reichart (ACL (1), 2022)

Example-based Hypernetworks for Out-of-Distribution Generalization. - Tomer Volk; Eyal Ben-David; Ohad Amosy; Gal Chechik; Roi Reichart (CoRR, 2022)

IDANI: Inference-time Domain Adaptation via Neuron-level Interventions. - Omer Antverg; Eyal Ben-David; Yonatan Belinkov (CoRR, 2022)

Domain Adaptation from Scratch. - Eyal Ben-David; Yftah Ziser; Roi Reichart (CoRR, 2022)

Text2Model: Model Induction for Zero-shot Generalization Using Task Descriptions. - Ohad Amosy; Tomer Volk; Eyal Ben-David; Roi Reichart; Gal Chechik (CoRR, 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)

Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains. - Tomer Volk; Eyal Ben-David; Ohad Amosy; Gal Chechik; Roi Reichart (EMNLP (Findings), 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)

Text2Model: Text-based Model Induction for Zero-shot Image Classification. - Ohad Amosy; Tomer Volk; Eilam Shapira; Eyal Ben-David; Roi Reichart; Gal Chechik (EMNLP (Findings), 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 (EMNLP (Findings), 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 (NeurIPS, 2024)

CoverBench: A Challenging Benchmark for Complex Claim Verification. - Alon Jacovi; Moran Ambar; Eyal Ben-David; Uri Shaham 002; Amir Feder; Mor Geva; Dror Marcus; Avi Caciularu (CoRR, 2024)

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)

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, 2025)

AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation. - Itay Nakash; Nitay Calderon; Eyal Ben-David; Elad Hoffer; Roi Reichart (CoRR, 2025)