| CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge A Talmor*, J Herzig*, N Lourie, J Berant NAACL 2019, 2018 | 1418 | 2018 |
| TAPAS: Weakly Supervised Table Parsing via Pre-training J Herzig, PK Nowak, T Müller, F Piccinno, JM Eisenschlos ACL 2020, 2020 | 629 | 2020 |
| Learning To Retrieve Prompts for In-Context Learning O Rubin, J Herzig, J Berant NAACL 2022, 2022 | 554 | 2022 |
| TRUE: Re-evaluating Factual Consistency Evaluation O Honovich, R Aharoni, J Herzig, H Taitelbaum, D Kukliansy, V Cohen, ... NAACL 2022, 2022 | 203 | 2022 |
| Span-based semantic parsing for compositional generalization J Herzig, J Berant ACL 2021, 2021 | 110 | 2021 |
| 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 | 106 | 2022 |
| Open Domain Question Answering over Tables via Dense Retrieval J Herzig, T Müller, S Krichene, JM Eisenschlos NAACL 2021, 2021 | 94 | 2021 |
| Improving Compositional Generalization in Semantic Parsing I Oren, J Herzig*, N Gupta*, M Gardner, J Berant Findings of EMNLP 2020, 2020 | 73 | 2020 |
| 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 | 70 | 2021 |
| A Summarization System for Scientific Documents S Erera, M Shmueli-Scheuer, G Feigenblat, OP Nakash, O Boni, ... EMNLP 2019, 2019 | 70 | 2019 |
| Neural semantic parsing over multiple knowledge-bases J Herzig, J Berant ACL 2017, 2017 | 70 | 2017 |
| Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing J Herzig, J Berant EMNLP 2018, 2018 | 64 | 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 | 64 | 2016 |
| Trueteacher: Learning factual consistency evaluation with large language models Z Gekhman, J Herzig, R Aharoni, C Elkind, I Szpektor EMNLP 2023, 2023 | 63 | 2023 |
| 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 | 57 | 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 | 53 | 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 | 53 | 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 | 51 | 2017 |
| Predicting customer satisfaction in customer support conversations in social media using affective features J Herzig, G Feigenblat, M Shmueli-Scheuer, D Konopnicki, A Rafaeli Proceedings of the 2016 Conference on User Modeling Adaptation and …, 2016 | 50 | 2016 |
| Monitoring cardiac stress using features extracted from S1 heart sounds J Herzig, A Bickel, A Eitan, N Intrator IEEE Transactions on Biomedical Engineering 62 (4), 1169-1178, 2014 | 50 | 2014 |
Jonathan BerantAssociate Professor, Tel-Aviv University, Visiting Faculty Researcher, Google DeepMIndVerified email at cs.tau.ac.il
