Παρακολούθηση
Yanai Elazar
Yanai Elazar
Postdoctoral Researcher at AI2 & UW
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα macs.biu.ac.il - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Evaluating models' local decision boundaries via contrast sets
M Gardner, Y Artzi, V Basmova, J Berant, B Bogin, S Chen, P Dasigi, ...
Findings of EMNLP 2020, 2020
4872020
Null it out: Guarding protected attributes by iterative nullspace projection
S Ravfogel, Y Elazar, H Gonen, M Twiton, Y Goldberg
ACL 2020, 2020
4142020
Adversarial removal of demographic attributes from text data
Y Elazar, Y Goldberg
EMNLP 2018, 2018
3812018
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
3602021
Olmo: Accelerating the science of language models
D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ...
🏆 Best Paper Award 🏆 ACL 2024, 2024
259*2024
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
249*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
2482020
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, ...
🏆 Best Paper Award 🏆 ACL 2024, 2024
186*2024
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
122*2023
Few-shot fine-tuning vs. in-context learning: A fair comparison and evaluation
M Mosbach, T Pimentel, S Ravfogel, D Klakow, Y Elazar
Findings of ACL 2023, 2023
1192023
Contrastive explanations for model interpretability
A Jacovi, S Swayamdipta, S Ravfogel, Y Elazar, Y Choi, Y Goldberg
EMNLP 2021, 2021
1142021
A survey on data selection for language models
A Albalak, Y Elazar, SM Xie, S Longpre, N Lambert, X Wang, ...
TMLR 2024, 2024
902024
Do language embeddings capture scales?
X Zhang, D Ramachandran, I Tenney, Y Elazar, D Roth
Findings of EMNLP 2020, 2020
872020
What's In My Big Data?
Y Elazar, A Bhagia, I Magnusson, A Ravichander, D Schwenk, A Suhr, ...
ICLR 2024, spotlight, 2023
832023
How large are lions? inducing distributions over quantitative attributes
Y Elazar, A Mahabal, D Ramachandran, T Bedrax-Weiss, D Roth
ACL 2019, 2019
652019
First align, then predict: Understanding the cross-lingual ability of multilingual BERT
B Muller, Y Elazar, B Sagot, D Seddah
EACL 2021, 2021
612021
It's not Greek to mBERT: inducing word-level translations from multilingual BERT
H Gonen, S Ravfogel, Y Elazar, Y Goldberg
BlackboxNLP 2020, 2020
572020
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
572019
Back to square one: Artifact detection, training and commonsense disentanglement in the winograd schema
Y Elazar, H Zhang, Y Goldberg, D Roth
EMNLP 2021, 2021
562021
Measuring causal effects of data statistics on language model's 'factual' predictions
Y Elazar, N Kassner, S Ravfogel, A Feder, A Ravichander, M Mosbach, ...
arXiv preprint arXiv:2207.14251, 2022
462022
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