Break It Down: A Question Understanding Benchmark T Wolfson, M Geva, A Gupta, M Gardner, Y Goldberg, D Deutch, J Berant Transactions of the Association for Computational Linguistics 8, 183-198, 2020 | 172 | 2020 |
Obtaining faithful interpretations from compositional neural networks S Subramanian, B Bogin, N Gupta, T Wolfson, S Singh, J Berant, ... arXiv preprint arXiv:2005.00724, 2020 | 57 | 2020 |
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 | 39 | 2023 |
Making retrieval-augmented language models robust to irrelevant context O Yoran, T Wolfson, O Ram, J Berant arXiv preprint arXiv:2310.01558, 2023 | 35 | 2023 |
QAMPARI: A Benchmark for Open-domain Questions with Many Answers S Amouyal, T Wolfson, O Rubin, O Yoran, J Herzig, J Berant The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | 28* | 2023 |
Explaining queries over web tables to non-experts J Berant, D Deutch, A Globerson, T Milo, T Wolfson 2019 IEEE 35th international conference on data engineering (ICDE), 1570-1573, 2019 | 17 | 2019 |
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition M Geva, T Wolfson, J Berant Transactions of the Association for Computational Linguistics 10, 111-126, 2022 | 14 | 2022 |
Weakly supervised text-to-sql parsing through question decomposition T Wolfson, D Deutch, J Berant arXiv preprint arXiv:2112.06311, 2021 | 12* | 2021 |
Tackling Spuriousness with Similarity A Carmon, D Muhlgay, A Resler, T Wolfson | | |