Predicting In-game Actions From the Language of NBA Players. - Nadav Oved; Amir Feder; Roi Reichart (CoRR, 2019)

Bidding in Spades. - Gal Cohensius; Reshef Meir; Nadav Oved; Roni Stern (ECAI, 2020)

Predicting In-Game Actions from Interviews of NBA Players. - Nadav Oved; Amir Feder; Roi Reichart (Comput. Linguistics, 2020)

PASS: Perturb-and-Select Summarizer for Product Reviews. - Nadav Oved; Ran Levy 001 (ACL/IJCNLP (1), 2021)

CausaLM: Causal Model Explanation Through Counterfactual Language Models. - Amir Feder; Nadav Oved; Uri Shalit; Roi Reichart (Comput. Linguistics, 2021)

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

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)

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)

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 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)