Evaluating Models' Local Decision Boundaries via Contrast Sets M Gardner, Y Artzi, V Basmova, J Berant, B Bogin, S Chen, P Dasigi, ... Findings of EMNLP 2020, 2020 | 389 | 2020 |
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing B Bogin, M Gardner, J Berant Association for Computational Linguistics (ACL) 2019, 2019 | 170 | 2019 |
An autonomous debating system N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ... Nature 591 (7850), 379-384, 2021 | 155 | 2021 |
Language Generation with Recurrent Generative Adversarial Networks without Pre-training O Press*, A Bar*, B Bogin*, J Berant, L Wolf 1st Workshop on Subword and Character level models in NLP at EMNLP 2017, 2017 | 131 | 2017 |
Global Reasoning over Database Structures for Text-to-SQL Parsing B Bogin, M Gardner, J Berant Conference on Empirical Methods in Natural Language Processing (EMNLP) 2019, 2019 | 93 | 2019 |
Towards an argumentative content search engine using weak supervision R Levy*, B Bogin*, S Gretz*, R Aharonov, N Slonim Proceedings of the 27th International Conference on Computational …, 2018 | 69 | 2018 |
Grammar-based neural text-to-sql generation K Lin, B Bogin, M Neumann, J Berant, M Gardner arXiv preprint arXiv:1905.13326, 2019 | 49 | 2019 |
Obtaining Faithful Interpretations from Compositional Neural Networks S Subramanian*, B Bogin*, N Gupta*, T Wolfson, S Singh, J Berant, ... Association for Computational Linguistics (ACL) 2020, 2020 | 48 | 2020 |
Emergence of Communication in an Interactive World with Consistent Speakers B Bogin, M Geva, J Berant Emergent Communication Workshop at NIPS 2018, 2018 | 36 | 2018 |
Diverse Demonstrations Improve In-context Compositional Generalization I Levy*, B Bogin*, J Berant arXiv preprint arXiv:2212.06800, 2022 | 28 | 2022 |
MedICaT: A Dataset of Medical Images, Captions, and Textual References S Subramanian, LL Wang, S Mehta, B Bogin, M van Zuylen, S Parasa, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 27 | 2020 |
Latent compositional representations improve systematic generalization in grounded question answering B Bogin, S Subramanian, M Gardner, J Berant Transactions of the Association for Computational Linguistics 9, 195-210, 2021 | 25 | 2021 |
Text-to-SQL in the wild: a naturally-occurring dataset based on Stack exchange data M Hazoom, V Malik, B Bogin arXiv preprint arXiv:2106.05006, 2021 | 22 | 2021 |
COVR: A test-bed for Visually Grounded Compositional Generalization with real images B Bogin, S Gupta, M Gardner, J Berant Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021, 2021 | 20 | 2021 |
Unobserved local structures make compositional generalization hard B Bogin, S Gupta, J Berant arXiv preprint arXiv:2201.05899, 2022 | 19 | 2022 |
Answering questions by meta-reasoning over multiple chains of thought O Yoran, T Wolfson, B Bogin, U Katz, D Deutch, J Berant arXiv preprint arXiv:2304.13007, 2023 | 18 | 2023 |
Training vision-language models with less bimodal supervision E Segal, B Bogin, J Berant arXiv preprint arXiv:2211.00262, 2022 | 3 | 2022 |
Leveraging Code to Improve In-context Learning for Semantic Parsing B Bogin, S Gupta, P Clark, A Sabharwal arXiv preprint arXiv:2311.09519, 2023 | | 2023 |
Proceedings of the First Workshop on Interactive and Executable Semantic Parsing B Bogin, S Iyer, XV Lin, D Radev, A Suhr, C Xiong, P Yin, T Yu, R Zhang, ... Proceedings of the First Workshop on Interactive and Executable Semantic Parsing, 2020 | | 2020 |