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Obtaining Faithful Interpretations from Compositional Neural Networks.

S. Subramanian, B. Bogin, N. Gupta, T. Wolfson, S. Singh, J. Berant, и M. Gardner. ACL, стр. 5594-5608. Association for Computational Linguistics, (2020)

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Jochen Bogin

Ben Schmehe

Ben Schöttker

Ben Novak

Ben Schacher

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Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data.M. Hazoom, V. Malik, и B. Bogin. CoRR, (2021)AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?O. Yoran, S. Amouyal, C. Malaviya, B. Bogin, O. Press, и J. Berant. CoRR, (2024)Evaluating Models' Local Decision Boundaries via Contrast Sets.M. Gardner, Y. Artzi, V. Basmova, J. Berant, B. Bogin, S. Chen, P. Dasigi, D. Dua, Y. Elazar, A. Gottumukkala и 16 other автор(ы). EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 1307-1323. Association for Computational Linguistics, (2020)Language Generation with Recurrent Generative Adversarial Networks without Pre-training.O. Press, A. Bar, B. Bogin, J. Berant, и L. Wolf. CoRR, (2017)Grammar-based Neural Text-to-SQL Generation.K. Lin, B. Bogin, M. Neumann, J. Berant, и M. Gardner. CoRR, (2019)Leveraging Code to Improve In-context Learning for Semantic Parsing.B. Bogin, S. Gupta, P. Clark, и A. Sabharwal. CoRR, (2023)COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images.B. Bogin, S. Gupta, M. Gardner, и J. Berant. EMNLP (1), стр. 9824-9846. Association for Computational Linguistics, (2021)Global Reasoning over Database Structures for Text-to-SQL Parsing.B. Bogin, M. Gardner, и J. Berant. EMNLP/IJCNLP (1), стр. 3657-3662. Association for Computational Linguistics, (2019)Diverse Demonstrations Improve In-context Compositional Generalization.I. Levy, B. Bogin, и J. Berant. ACL (1), стр. 1401-1422. Association for Computational Linguistics, (2023)Training Vision-Language Models with Less Bimodal Supervision.E. Segal, B. Bogin, и J. Berant. AKBC, (2022)

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