Publications Other (1) Question Decomposition with Dependency Graphs Author(s): Matan Hasson, Jonathan Berant Published in: AKBC 2021, 2021 Publisher: non-archival Conference proceedings (17) """COVR: A test-bed for Visually Grounded Compositional Generalization with real images""" Author(s): Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant Published in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021, Page(s) 9824–9846 Publisher: Association for Computational Linguistics MultimodalQA: Complex Question Answering over Text, Tables and Images Author(s): Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant Published in: Proceedings of the 2021 International Conference on Learning Representations, 2021 Publisher: ICLR 2021 A Simple and Effective Model for Answering Multi-span Questions Author(s): Elad Segal, Avia Efrat, Mor Shoham, Amir Globerson, Jonathan Berant Published in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, Page(s) 3074-3080 Publisher: Association for Computational Linguistics DOI: 10.18653/v1/2020.emnlp-main.248 What’s in Your Head? Emergent Behaviour in Multi-Task Transformer Models Author(s): Mor Geva, Uri Katz, Aviv Ben-Arie, Jonathan Berant Published in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Publisher: Association for Computational Linguistics Achieving Model Robustness Through Discrete Adversarial Training Author(s): Maor Ivgi and Jonathan Berant Published in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Publisher: ACL 2021 Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization Author(s): Inbar Oren, Jonathan Herzig, Jonathan Berant Published in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Publisher: Association for Computational Linguistics Injecting Numerical Reasoning Skills into Language Models Author(s): Mor Geva, Ankit Gupta, Jonathan Berant Published in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, Page(s) 946-958 Publisher: Association for Computational Linguistics DOI: 10.18653/v1/2020.acl-main.89 Scene Graph tO Image Generation with Contextualized Object Layout Refinement Author(s): Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf Published in: 2021 IEEE International Conference on Image Processing (ICIP), 2021, Page(s) 2428-2432, ISBN 978-1-6654-4115-5 Publisher: IEEE DOI: 10.1109/icip42928.2021.9506651 Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge Author(s): Talmor, Alon; Tafjord, Oyvind; Clark, Peter; Goldberg, Yoav; Berant, Jonathan Published in: Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020), Issue 4, 2020 Publisher: NeurIPS 2020 CommonsenseQA 2.0: Exposing the Limits of AI through Gamification Author(s): Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant Published in: Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (Datasets and Benchmarks Track), 2021 Publisher: NeurIPS 2021 Improving Compositional Generalization in Semantic Parsing Author(s): Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant Published in: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, Page(s) 2482-2495 Publisher: Association for Computational Linguistics DOI: 10.18653/v1/2020.findings-emnlp.225 SmBoP: Semi-autoregressive Bottom-up Semantic Parsing Author(s): Ohad Rubin, Jonathan Berant Published in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021, Page(s) 311-324 Publisher: Association for Computational Linguistics DOI: 10.18653/v1/2021.naacl-main.29 Evaluating the Evaluation of Diversity in Natural Language Generation Author(s): Guy Tevet, Jonathan Berant Published in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021, Page(s) 326-346 Publisher: Association for Computational Linguistics DOI: 10.18653/v1/2021.eacl-main.25 Evaluating Models’ Local Decision Boundaries via Contrast Sets Author(s): Matt Gardner, Yoav Artzi, Victoria Basmov, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou Published in: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, Page(s) 1307-1323 Publisher: Association for Computational Linguistics DOI: 10.18653/v1/2020.findings-emnlp.117 Span-based Semantic Parsing for Compositional Generalization Author(s): Jonathan Herzig, Jonathan Berant Published in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021, Page(s) 908-921 Publisher: Association for Computational Linguistics DOI: 10.18653/v1/2021.acl-long.74 Differentiable Scene Graphs Author(s): Moshiko Raboh, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson Published in: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, Page(s) 1477-1486, ISBN 978-1-7281-6553-0 Publisher: IEEE DOI: 10.1109/wacv45572.2020.9093297 Obtaining Faithful Interpretations from Compositional Neural Networks Author(s): Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner Published in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, Page(s) 5594-5608 Publisher: Association for Computational Linguistics DOI: 10.18653/v1/2020.acl-main.495 Peer reviewed articles (5) oLMpics-On What Language Model Pre-training Captures Author(s): Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant Published in: Transactions of the Association for Computational Linguistics, Issue 8, 2020, Page(s) 743-758, ISSN 2307-387X Publisher: The MIT Press DOI: 10.1162/tacl_a_00342 Break It Down: A Question Understanding Benchmark Author(s): Tomer Wolfson; Mor Geva; Ankit Gupta; Matt Gardner; Yoav Goldberg; Daniel Deutch; Jonathan Berant Published in: Transactions of the Association for Computational Linguistics, Vol 8, Pp 183-198 (2020), Issue 2, 2020, ISSN 2307-387X Publisher: MIT Press Journals DOI: 10.1162/tacl_a_00309 Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition Author(s): Mor Geva, Tomer Wolfson, Jonathan Berant Published in: Transactions of the Association for Computational Linguistics, 2021, 2021, ISSN 2307-387X Publisher: MIT Press Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Author(s): Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant Published in: Transactions of the Association for Computational Linguistics, Issue 9, 2021, Page(s) 346-361, ISSN 2307-387X Publisher: MIT Press DOI: 10.1162/tacl_a_00370 Latent compositional representations improve systematic generalization in grounded question answering. Author(s): Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant Published in: Transactions of the Association for Computational Linguistics (TACL) - volume 9, 2021, ISSN 2307-387X Publisher: MIT Press Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
