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 | 2 | 2024 |
Evaluating -Gram Novelty of Language Models Using Rusty-DAWG W Merrill, NA Smith, Y Elazar arXiv preprint arXiv:2406.13069, 2024 | 2 | 2024 |
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 | 2 | 2024 |
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 | 30 | 2024 |
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 | 5 | 2024 |
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 | 41 | 2024 |
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 | 46 | 2024 |
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 | 3 | 2023 |
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 | 2 | 2023 |
What's In My Big Data? Y Elazar, A Bhagia, I Magnusson, A Ravichander, D Schwenk, A Suhr, ... arXiv preprint arXiv:2310.20707, 2023 | 40 | 2023 |
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 | 18 | 2023 |
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 | 67 | 2023 |
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 | 1 | 2022 |