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Yanai Elazar
Yanai Elazar
Postdoctoral Researcher at AI2 & UW
在 macs.biu.ac.il 的电子邮件经过验证 - 首页
标题
引用次数
年份
Proceedings of the 1st Workshop on Data Contamination (CONDA)
O Sainz, I García-Ferrero, E Agirre, JA Campos, A Jacovi, Y Elazar, ...
Proceedings of the 1st Workshop on Data Contamination (CONDA), 2024
2024
Data Contamination Report from the 2024 CONDA Shared Task
O Sainz, I García-Ferrero, A Jacovi, JA Campos, Y Elazar, E Agirre, ...
arXiv preprint arXiv:2407.21530, 2024
2024
Generalization vs Memorization: Tracing Language Models' Capabilities Back to Pretraining Data
A Antoniades, X Wang, Y Elazar, A Amayuelas, A Albalak, K Zhang, ...
arXiv preprint arXiv:2407.14985, 2024
2024
Detection and measurement of syntactic templates in generated text
C Shaib, Y Elazar, JJ Li, BC Wallace
arXiv preprint arXiv:2407.00211, 2024
22024
Evaluating -Gram Novelty of Language Models Using Rusty-DAWG
W Merrill, NA Smith, Y Elazar
arXiv preprint arXiv:2406.13069, 2024
22024
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation
B Iluz, Y Elazar, A Yehudai, G Stanovsky
arXiv preprint arXiv:2406.00787, 2024
2024
Estimating the Causal Effect of Early ArXiving on Paper Acceptance
Y Elazar, J Zhang, D Wadden, B Zhang, NA Smith
Causal Learning and Reasoning, 913-933, 2024
22024
A survey on data selection for language models
A Albalak, Y Elazar, SM Xie, S Longpre, N Lambert, X Wang, ...
arXiv preprint arXiv:2402.16827, 2024
302024
Calibrating large language models with sample consistency
Q Lyu, K Shridhar, C Malaviya, L Zhang, Y Elazar, N Tandon, ...
arXiv preprint arXiv:2402.13904, 2024
52024
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
412024
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
462024
Paloma: A benchmark for evaluating language model fit
I Magnusson, A Bhagia, V Hofmann, L Soldaini, AH Jha, O Tafjord, ...
arXiv preprint arXiv:2312.10523, 2023
32023
Proceedings of the Big Picture Workshop
Y Elazar, A Ettinger, N Kassner, S Ruder, NA Smith
Proceedings of the Big Picture Workshop, 2023
2023
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
Y Elazar, B Paranjape, H Peng, S Wiegreffe, K Raghavi, V Srikumar, ...
arXiv preprint arXiv:2311.09605, 2023
22023
What's In My Big Data?
Y Elazar, A Bhagia, I Magnusson, A Ravichander, D Schwenk, A Suhr, ...
arXiv preprint arXiv:2310.20707, 2023
402023
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
93*2023
The bias amplification paradox in text-to-image generation
P Seshadri, S Singh, Y Elazar
arXiv preprint arXiv:2308.00755, 2023
182023
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
672023
At your fingertips: Extracting piano fingering instructions from videos
A Moryossef, Y Elazar, Y Goldberg
arXiv preprint arXiv:2303.03745, 2023
6*2023
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
J Bastings, Y Belinkov, Y Elazar, D Hupkes, N Saphra, S Wiegreffe
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting …, 2022
12022
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