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Katherine Lee
Katherine Lee
Researcher, Google Brain Research
Verified email at google.com
Title
Cited by
Cited by
Year
Exploring the limits of transfer learning with a unified text-to-text transformer
C Raffel, N Shazeer, A Roberts, K Lee, S Narang, M Matena, Y Zhou, W Li, ...
The Journal of Machine Learning Research 21 (1), 5485-5551, 2020
60022020
Extracting Training Data from Large Language Models.
N Carlini, F Tramer, E Wallace, M Jagielski, A Herbert-Voss, K Lee, ...
USENIX Security Symposium 6, 2021
4292021
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
arXiv preprint arXiv:2204.02311, 2022
3572022
Deduplicating training data makes language models better
K Lee, D Ippolito, A Nystrom, C Zhang, D Eck, C Callison-Burch, N Carlini
arXiv preprint arXiv:2107.06499, 2021
842021
WT5?! Training Text-to-Text Models to Explain their Predictions
S Narang, C Raffel, K Lee, A Roberts, N Fiedel, K Malkan
arXiv preprint arXiv:2004.14546, 2020
772020
Hallucinations in neural machine translation
K Lee, O Firat, A Agarwal, C Fannjiang, D Sussillo
642018
Propagation of information along the cortical hierarchy as a function of attention while reading and listening to stories
M Regev, E Simony, K Lee, KM Tan, J Chen, U Hasson
Cerebral Cortex 29 (10), 4017-4034, 2019
582019
Quantifying Memorization Across Neural Language Models
N Carlini, D Ippolito, M Jagielski, K Lee, F Tramer, C Zhang
arXiv preprint arXiv:2202.07646, 2022
462022
What Does it Mean for a Language Model to Preserve Privacy?
H Brown, K Lee, F Mireshghallah, R Shokri, F Tramèr
2022 ACM Conference on Fairness, Accountability, and Transparency, 2280-2292, 2022
152022
Counterfactual Memorization in Neural Language Models
C Zhang, D Ippolito, K Lee, M Jagielski, F Tramèr, N Carlini
arXiv preprint arXiv:2112.12938, 2021
152021
Exploring the limits of transfer learning with a unified text-to-text transformer
A Roberts, C Raffel, K Lee, M Matena, N Shazeer, PJ Liu, S Narang, W Li, ...
62019
Measuring Forgetting of Memorized Training Examples
M Jagielski, O Thakkar, F Tramèr, D Ippolito, K Lee, N Carlini, E Wallace, ...
arXiv preprint arXiv:2207.00099, 2022
42022
Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy
D Ippolito, F Tramèr, M Nasr, C Zhang, M Jagielski, K Lee, ...
arXiv preprint arXiv:2210.17546, 2022
2022
Memorization in Language Models
K Lee
mosaic, 2022
2022
What does it mean for a language model to preserve privacy?
F Mireshghallah, F Tramèr, H Brown, K Lee, R Shokri
2022
Deduplicating Training Data Makes Language Models Better
A Nystrom, C Zhang, C Callison-Burch, D Ippolito, D Eck, K Lee, N Carlini
2022
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Articles 1–16