| 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 | 467 | 2020 |
| 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 | 362 | 2020 |
| Adversarial removal of demographic attributes from text data Y Elazar, Y Goldberg arXiv preprint arXiv:1808.06640, 2018 | 355 | 2018 |
| 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 | 305 | 2021 |
| 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 | 237 | 2020 |
| 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 | 211 | 2021 |
| Contrastive explanations for model interpretability A Jacovi, S Swayamdipta, S Ravfogel, Y Elazar, Y Choi, Y Goldberg arXiv preprint arXiv:2103.01378, 2021 | 98 | 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 | 96* | 2023 |
| Do language embeddings capture scales? X Zhang, D Ramachandran, I Tenney, Y Elazar, D Roth arXiv preprint arXiv:2010.05345, 2020 | 79 | 2020 |
| Few-shot fine-tuning vs. in-context learning: A fair comparison and evaluation M Mosbach, T Pimentel, S Ravfogel, D Klakow, Y Elazar arXiv preprint arXiv:2305.16938, 2023 | 74 | 2023 |
| 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 | 62 | 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 | 56 | 2019 |
| 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 | 52 | 2021 |
| 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 | 50 | 2024 |
| 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 | 50 | 2020 |
| 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 | 48 | 2021 |
| Olmo: Accelerating the science of language models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... arXiv preprint arXiv:2402.00838, 2024 | 43 | 2024 |
| What's In My Big Data? Y Elazar, A Bhagia, I Magnusson, A Ravichander, D Schwenk, A Suhr, ... arXiv preprint arXiv:2310.20707, 2023 | 43 | 2023 |
| 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 | 39 | 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 | 34 | 2021 |
Yoav GoldbergProfessor, Bar Ilan University. Research Director, AI2-IsraelDirección de correo verificada de cs.biu.ac.il
