| Evaluating models' local decision boundaries via contrast sets M Gardner, Y Artzi, V Basmova, J Berant, B Bogin, S Chen, P Dasigi, ... arXiv preprint arXiv:2004.02709, 2020 | 388 | 2020 |
| Adversarial removal of demographic attributes from text data Y Elazar, Y Goldberg arXiv preprint arXiv:1808.06640, 2018 | 314 | 2018 |
| Null it out: Guarding protected attributes by iterative nullspace projection S Ravfogel, Y Elazar, H Gonen, M Twiton, Y Goldberg arXiv preprint arXiv:2004.07667, 2020 | 242 | 2020 |
| oLMpics-on what language model pre-training captures A Talmor, Y Elazar, Y Goldberg, J Berant Transactions of the Association for Computational Linguistics 8, 743-758, 2020 | 194 | 2020 |
| Measuring and improving consistency in pretrained language models Y Elazar, N Kassner, S Ravfogel, A Ravichander, E Hovy, H Schütze, ... Transactions of the Association for Computational Linguistics 9, 1012-1031, 2021 | 174 | 2021 |
| Amnesic probing: Behavioral explanation with amnesic counterfactuals Y Elazar, S Ravfogel, A Jacovi, Y Goldberg Transactions of the Association for Computational Linguistics 9, 160-175, 2021 | 160* | 2021 |
| Do language embeddings capture scales? X Zhang, D Ramachandran, I Tenney, Y Elazar, D Roth arXiv preprint arXiv:2010.05345, 2020 | 66 | 2020 |
| Contrastive explanations for model interpretability A Jacovi, S Swayamdipta, S Ravfogel, Y Elazar, Y Choi, Y Goldberg arXiv preprint arXiv:2103.01378, 2021 | 60 | 2021 |
| How large are lions? inducing distributions over quantitative attributes Y Elazar, A Mahabal, D Ramachandran, T Bedrax-Weiss, D Roth arXiv preprint arXiv:1906.01327, 2019 | 52 | 2019 |
| Adversarial removal of demographic attributes revisited M Barrett, Y Kementchedjhieva, Y Elazar, D Elliott, A Søgaard Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 49 | 2019 |
| Back to square one: Artifact detection, training and commonsense disentanglement in the Winograd schema Y Elazar, H Zhang, Y Goldberg, D Roth arXiv preprint arXiv:2104.08161, 2021 | 39 | 2021 |
| First align, then predict: Understanding the cross-lingual ability of multilingual BERT B Muller, Y Elazar, B Sagot, D Seddah arXiv preprint arXiv:2101.11109, 2021 | 39 | 2021 |
| A taxonomy and review of generalization research in NLP D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ... Nature Machine Intelligence 5 (10), 1161-1174, 2023 | 38* | 2023 |
| It's not Greek to mBERT: inducing word-level translations from multilingual BERT H Gonen, S Ravfogel, Y Elazar, Y Goldberg arXiv preprint arXiv:2010.08275, 2020 | 36 | 2020 |
| Privacy and fairness in recommender systems via adversarial training of user representations YS Resheff, Y Elazar, M Shahar, OS Shalom arXiv preprint arXiv:1807.03521, 2018 | 26 | 2018 |
| Measuring Causal Effects of Data Statistics on Language Model'sFactual'Predictions Y Elazar, N Kassner, S Ravfogel, A Feder, A Ravichander, M Mosbach, ... arXiv preprint arXiv:2207.14251, 2022 | 24 | 2022 |
| Revisiting few-shot relation classification: Evaluation data and classification schemes O Sabo, Y Elazar, Y Goldberg, I Dagan Transactions of the Association for Computational Linguistics 9, 691-706, 2021 | 23 | 2021 |
| Where’s my head? Definition, data set, and models for numeric fused-head identification and resolution Y Elazar, Y Goldberg Transactions of the Association for Computational Linguistics 7, 519-535, 2019 | 20 | 2019 |
| Unsupervised distillation of syntactic information from contextualized word representations S Ravfogel, Y Elazar, J Goldberger, Y Goldberg arXiv preprint arXiv:2010.05265, 2020 | 14 | 2020 |
| Text-based np enrichment Y Elazar, V Basmov*, Y Goldberg, R Tsarfaty Transactions of the Association for Computational Linguistics 10, 764-784, 2022 | 9 | 2022 |
Yoav GoldbergProfessor, Bar Ilan University. Research Director, AI2-IsraelVerified email at cs.biu.ac.il
