Ben Bogin
Ben Bogin
Allen Institute for AI / University of Washington
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
Diverse Demonstrations Improve In-context Compositional Generalization
I Levy*, B Bogin*, J Berant
arXiv preprint arXiv:2212.06800, 2022
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
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
Grammar-based neural text-to-sql generation
K Lin, B Bogin, M Neumann, J Berant, M Gardner
arXiv preprint arXiv:1905.13326, 2019
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
Emergence of Communication in an Interactive World with Consistent Speakers
B Bogin, M Geva, J Berant
Emergent Communication Workshop at NIPS 2018, 2018
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
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
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
Unobserved local structures make compositional generalization hard
B Bogin, S Gupta, J Berant
arXiv preprint arXiv:2201.05899, 2022
Dolma: An Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
L Soldaini, R Kinney, A Bhagia, D Schwenk, D Atkinson, R Authur, ...
arXiv preprint arXiv:2402.00159, 2024
Training vision-language models with less bimodal supervision
E Segal, B Bogin, J Berant
arXiv preprint arXiv:2211.00262, 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
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the US Executive Order
T Nakamura, M Mishra, S Tedeschi, Y Chai, JT Stillerman, F Friedrich, ...
arXiv preprint arXiv:2404.00399, 2024
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