Understanding Convolutional Neural Networks for Text Classification. - Alon Jacovi; Oren Sar Shalom; Yoav Goldberg (BlackboxNLP@EMNLP, 2018)

Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications. - Guy Hadash; Einat Kermany; Boaz Carmeli; Ofer Lavi; George Kour; Alon Jacovi (CoRR, 2018)

Learning and Understanding Different Categories of Sexism Using Convolutional Neural Network's Filters. - Sima Sharifirad; Alon Jacovi (WNLP@ACL, 2019)

Neural network gradient-based learning of black-box function interfaces. - Alon Jacovi; Guy Hadash; Einat Kermany; Boaz Carmeli; Ofer Lavi; George Kour; Jonathan Berant (ICLR (Poster), 2019)

Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? - Alon Jacovi; Yoav Goldberg (ACL, 2020)

Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data. - Shachar Rosenman; Alon Jacovi; Yoav Goldberg (EMNLP (1), 2020)

Improving Task-Oriented Dialogue Systems In Production with Conversation Logs. - Alon Jacovi; Ori Bar El; Ofer Lavi; David Boaz; David Amid; Inbal Ronen; Ateret Anaby-Tavor (Converse@KDD, 2020)

When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions. - Yanai Elazar; Shauli Ravfogel; Alon Jacovi; Yoav Goldberg (CoRR, 2020)

Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning. - Alon Jacovi; Gang Niu 001; Yoav Goldberg; Masashi Sugiyama (EACL, 2021)

Contrastive Explanations for Model Interpretability. - Alon Jacovi; Swabha Swayamdipta; Shauli Ravfogel; Yanai Elazar; Yejin Choi 001; Yoav Goldberg (EMNLP (1), 2021)

Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI. - Alon Jacovi; Ana Marasovic; Tim Miller 001; Yoav Goldberg (FAccT, 2021)

Amnesic Probing: Behavioral Explanation With Amnesic Counterfactuals. - Yanai Elazar; Shauli Ravfogel; Alon Jacovi; Yoav Goldberg (Trans. Assoc. Comput. Linguistics, 2021)

Aligning Faithful Interpretations with their Social Attribution. - Alon Jacovi; Yoav Goldberg (Trans. Assoc. Comput. Linguistics, 2021)

Human Interpretation of Saliency-based Explanation Over Text. - Hendrik Schuff; Alon Jacovi; Heike Adel; Yoav Goldberg; Ngoc Thang Vu (FAccT, 2022)

Neighboring Words Affect Human Interpretation of Saliency Explanations. - Alon Jacovi; Hendrik Schuff; Heike Adel; Ngoc Thang Vu; Yoav Goldberg (ACL (Findings), 2023)

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks. - Alon Jacovi; Avi Caciularu; Omer Goldman; Yoav Goldberg (EMNLP, 2023)

A Comprehensive Evaluation of Tool-Assisted Generation Strategies. - Alon Jacovi; Avi Caciularu; Jonathan Herzig; Roee Aharoni; Bernd Bohnet; Mor Geva (EMNLP (Findings), 2023)

Trends in Explainable AI (XAI) Literature. - Alon Jacovi (CoRR, 2023)

Diagnosing AI Explanation Methods with Folk Concepts of Behavior. - Alon Jacovi; Jasmijn Bastings; Sebastian Gehrmann; Yoav Goldberg; Katja Filippova (J. Artif. Intell. Res., 2023)

A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. - Alon Jacovi; Yonatan Bitton; Bernd Bohnet; Jonathan Herzig; Or Honovich; Michael Tseng; Michael Collins 001; Roee Aharoni; Mor Geva (ACL (1), 2024)

Data Contamination Report from the 2024 CONDA Shared Task. - Oscar Sainz; Iker García-Ferrero; Alon Jacovi; Jon Ander Campos; Yanai Elazar; Eneko Agirre; Yoav Goldberg; Wei-Lin Chen; Jenny Chim; Leshem Choshen; Luca D'Amico-Wong; Melissa Dell; et al. (CONDA, 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)

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)

Unpacking Human-AI Interaction in Safety-Critical Industries: A Systematic Literature Review. - Tita Alissa Bach; Jenny K. Kristiansen; Aleksandar Babic; Alon Jacovi (IEEE Access, 2024)

Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations. - Arie Cattan; Alon Jacovi; Alex Fabrikant; Jonathan Herzig; Roee Aharoni; Hannah Rashkin; Dror Marcus; Avinatan Hassidim; Yossi Matias; Idan Szpektor; Avi Caciularu (CoRR, 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)

ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability. - Antonin Poché; Alon Jacovi; Agustin Martin Picard; Victor Boutin; Fanny Jourdan (ACL (1), 2025)

The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input. - Alon Jacovi; Andrew Wang; Chris Alberti; Connie Tao; Jon Lipovetz; Kate Olszewska; Lukas Haas; Michelle Liu; Nate Keating; Adam Bloniarz; Carl Saroufim; Corey Fry; et al. (CoRR, 2025)

DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs. - Arie Cattan; Alon Jacovi; Ori Ram; Jonathan Herzig; Roee Aharoni; Sasha Goldshtein; Eran Ofek; Idan Szpektor; Avi Caciularu (CoRR, 2025)