| CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge A Talmor*, J Herzig*, N Lourie, J Berant NAACL 2019, 2018 | 1650 | 2018 |
| TAPAS: Weakly Supervised Table Parsing via Pre-training J Herzig, PK Nowak, T Müller, F Piccinno, JM Eisenschlos ACL 2020, 2020 | 678 | 2020 |
| Learning To Retrieve Prompts for In-Context Learning O Rubin, J Herzig, J Berant NAACL 2022, 2022 | 632 | 2022 |
| TRUE: Re-evaluating Factual Consistency Evaluation O Honovich, R Aharoni, J Herzig, H Taitelbaum, D Kukliansy, V Cohen, ... NAACL 2022, 2022 | 220 | 2022 |
| Attributed question answering: Evaluation and modeling for attributed large language models B Bohnet, VQ Tran, P Verga, R Aharoni, D Andor, LB Soares, M Ciaramita, ... arXiv preprint arXiv:2212.08037, 2022 | 130 | 2022 |
| Span-based semantic parsing for compositional generalization J Herzig, J Berant ACL 2021, 2021 | 114 | 2021 |
| Open Domain Question Answering over Tables via Dense Retrieval J Herzig, T Müller, S Krichene, JM Eisenschlos NAACL 2021, 2021 | 100 | 2021 |
| Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? Z Gekhman, G Yona, R Aharoni, M Eyal, A Feder, R Reichart, J Herzig EMNLP 2024, 2024 | 91* | 2024 |
| Unlocking compositional generalization in pre-trained models using intermediate representations J Herzig, P Shaw, MW Chang, K Guu, P Pasupat, Y Zhang arXiv preprint arXiv:2104.07478, 2021 | 74 | 2021 |
| Improving Compositional Generalization in Semantic Parsing I Oren, J Herzig*, N Gupta*, M Gardner, J Berant Findings of EMNLP 2020, 2020 | 73 | 2020 |
| Trueteacher: Learning factual consistency evaluation with large language models Z Gekhman, J Herzig, R Aharoni, C Elkind, I Szpektor EMNLP 2023, 2023 | 71 | 2023 |
| Neural semantic parsing over multiple knowledge-bases J Herzig, J Berant ACL 2017, 2017 | 71 | 2017 |
| A Summarization System for Scientific Documents S Erera, M Shmueli-Scheuer, G Feigenblat, OP Nakash, O Boni, ... EMNLP 2019, 2019 | 69 | 2019 |
| What You See is What You Read? Improving Text-Image Alignment Evaluation M Yarom, Y Bitton, S Changpinyo, R Aharoni, J Herzig, O Lang, E Ofek, ... NeurIPS 2023, 2023 | 68 | 2023 |
| Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing J Herzig, J Berant EMNLP 2018, 2018 | 66 | 2018 |
| Classifying emotions in customer support dialogues in social media J Herzig, G Feigenblat, M Shmueli-Scheuer, D Konopnicki, A Rafaeli, ... Proceedings of the 17th annual meeting of the special interest group on …, 2016 | 63 | 2016 |
| TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks G Lev, M Shmueli-Scheuer, J Herzig, A Jerbi, D Konopnicki ACL 2019, 2019 | 60 | 2019 |
| QAMPARI: A benchmark for open-domain questions with many answers S Amouyal, T Wolfson, O Rubin, O Yoran, J Herzig, J Berant Proceedings of the Third Workshop on Natural Language Generation, Evaluation …, 2023 | 55* | 2023 |
| Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing L Qiu, P Shaw, P Pasupat, T Shi, J Herzig, E Pitler, F Sha, K Toutanova EMNLP 2022, 2022 | 55 | 2022 |
| Neural response generation for customer service based on personality traits J Herzig, M Shmueli-Scheuer, T Sandbank, D Konopnicki Proceedings of the 10th international conference on natural language …, 2017 | 53 | 2017 |
Jonathan BerantAssociate Professor, Tel-Aviv University, Visiting Faculty Researcher, Google DeepMIndVerified email at cs.tau.ac.il