| 2025 | ACL | ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability. | Antonin Poch, Alon Jacovi, Agustin Martin Picard, Victor Boutin, Fanny Jourdan |
| 2025 | IJCNLP | DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning. | Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni, Hannah Rashkin, Dror Marcus, Avinatan Hassidim, Yossi Matias, Idan Szpektor, Avi Caciularu |
| 2024 | ACL | 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, Roee Aharoni, Mor Geva |
| 2024 | EMNLP | 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 |
| 2023 | ACL | Neighboring Words Affect Human Interpretation of Saliency Explanations. | Alon Jacovi, Hendrik Schuff, Heike Adel, Ngoc Thang Vu, Yoav Goldberg |
| 2023 | EMNLP | Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks. | Alon Jacovi, Avi Caciularu, Omer Goldman, Yoav Goldberg |
| 2023 | EMNLP | A Comprehensive Evaluation of Tool-Assisted Generation Strategies. | Alon Jacovi, Avi Caciularu, Jonathan Herzig, Roee Aharoni, Bernd Bohnet, Mor Geva |
| 2021 | EACL | Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning. | Alon Jacovi, Gang Niu, Yoav Goldberg, Masashi Sugiyama |
| 2021 | EMNLP | Contrastive Explanations for Model Interpretability. | Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg |
| 2020 | ACL | Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? | Alon Jacovi, Yoav Goldberg |
| 2020 | EMNLP | Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data. | Shachar Rosenman, Alon Jacovi, Yoav Goldberg |
| 2020 | KDD | 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 |
| 2019 | ICLR | Neural network gradient-based learning of black-box function interfaces. | Alon Jacovi, Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Jonathan Berant |
| 2018 | EMNLP | Understanding Convolutional Neural Networks for Text Classification. | Alon Jacovi, Oren Sar Shalom, Yoav Goldberg |