Mediators in Determining what Processing BERT Performs First. - Aviv Slobodkin; Leshem Choshen; Omri Abend (NAACL-HLT, 2021)

Controlled Text Reduction. - Aviv Slobodkin; Paul Roit; Eran Hirsch; Ori Ernst; Ido Dagan (EMNLP, 2022)

Semantics-aware Attention Improves Neural Machine Translation. - Aviv Slobodkin; Leshem Choshen; Omri Abend (*SEM@NAACL-HLT, 2022)

Don't Add, don't Miss: Effective Content Preserving Generation from Pre-Selected Text Spans. - Aviv Slobodkin; Avi Caciularu; Eran Hirsch; Ido Dagan (EMNLP (Findings), 2023)

The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models. - Aviv Slobodkin; Omer Goldman; Avi Caciularu; Ido Dagan; Shauli Ravfogel (EMNLP, 2023)

SummHelper: Collaborative Human-Computer Summarization. - Aviv Slobodkin; Niv Nachum; Shmuel Amar; Ori Shapira; Ido Dagan (EMNLP (Demos), 2023)

Dont Add, dont Miss: Effective Content Preserving Generation from Pre-Selected Text Spans. - Aviv Slobodkin; Avi Caciularu; Eran Hirsch; Ido Dagan (CoRR, 2023)

The Curious Case of Hallucinatory Unanswerablity: Finding Truths in the Hidden States of Over-Confident Large Language Models. - Aviv Slobodkin; Omer Goldman; Avi Caciularu; Ido Dagan; Shauli Ravfogel (CoRR, 2023)

The Power of Summary-Source Alignments. - Ori Ernst; Ori Shapira; Aviv Slobodkin; Sharon Adar; Mohit Bansal; Jacob Goldberger; Ran Levy 001; Ido Dagan (ACL (Findings), 2024)

Explicating the Implicit: Argument Detection Beyond Sentence Boundaries. - Paul Roit; Aviv Slobodkin; Eran Hirsch; Arie Cattan; Ayal Klein; Valentina Pyatkin; Ido Dagan (ACL (1), 2024)

Attribute First, then Generate: Locally-attributable Grounded Text Generation. - Aviv Slobodkin; Eran Hirsch; Arie Cattan; Tal Schuster; Ido Dagan (ACL (1), 2024)

Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP. - Omer Goldman; Alon Jacovi; Aviv Slobodkin; Aviya Maimon; Ido Dagan; Reut Tsarfaty (EMNLP, 2024)

Multi-Review Fusion-in-Context. - Aviv Slobodkin; Ori Shapira; Ran Levy 001; Ido Dagan (NAACL-HLT (Findings), 2024)

Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models. - Nitzan Bitton Guetta; Aviv Slobodkin; Aviya Maimon; Eliya Habba; Royi Rassin; Yonatan Bitton; Idan Szpektor; Amir Globerson; Yuval Elovici (NeurIPS, 2024)

GRADE: Quantifying Sample Diversity in Text-to-Image Models. - Royi Rassin; Aviv Slobodkin; Shauli Ravfogel; Yanai Elazar; Yoav Goldberg (CoRR, 2024)

EventFull: Complete and Consistent Event Relation Annotation. - Alon Eirew; Eviatar Nachshoni; Aviv Slobodkin; Ido Dagan (CoRR, 2024)

LAQuer: Localized Attribution Queries in Content-grounded Generation. - Eran Hirsch; Aviv Slobodkin; David Wan; Elias Stengel-Eskin; Mohit Bansal; Ido Dagan (ACL (1), 2025)

RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation. - Aviv Slobodkin; Hagai Taitelbaum; Yonatan Bitton; Brian Gordon; Michal Sokolik; Nitzan Bitton Guetta; Almog Gueta; Royi Rassin; Itay Laish; Dani Lischinski; Idan Szpektor (CoRR, 2025)

A Unifying Scheme for Extractive Content Selection Tasks. - Shmuel Amar; Ori Shapira; Aviv Slobodkin; Ido Dagan (CoRR, 2025)