Katherine Lee

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Deduplicating Training Data Makes Language Models Better
Andrew Nystrom
Chiyuan Zhang
Chris Callison-Burch
Daphne Ippolito
Douglas Eck
Katherine Lee
Nicholas Carlini
(2022) (to appear)
What does it mean for a language model to preserve privacy?
Fatemehsadat Mireshghallah
Florian Tramèr
Hannah Brown
Katherine Lee
Reza Shokri
FaCCT (2022)
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
Adam Roberts
Paul Barham
Hyung Won Chung
Charles Sutton
Sebastian Gehrmann
Parker Schuh
Kensen Shi
Sasha Tsvyashchenko
Joshua Maynez
Abhishek Rao
Parker Barnes
Yi Tay
Noam Shazeer
Vinodkumar Prabhakaran
Emily Reif
Nan Du
Ben Hutchinson
Reiner Pope
James Bradbury
Jacob Austin
Michael Isard
Guy Gur-Ari
Pengcheng Yin
Toju Duke
Anselm Levskaya
Sanjay Ghemawat
Sunipa Dev
Henryk Michalewski
Xavier Garcia
Vedant Misra
Kevin Robinson
Liam Fedus
Denny Zhou
Daphne Ippolito
David Luan
Hyeontaek Lim
Barret Zoph
Alexander Spiridonov
Ryan Sepassi
David Dohan
Shivani Agrawal
Mark Omernick
Andrew M. Dai
Thanumalayan Sankaranarayana Pillai
Marie Pellat
Aitor Lewkowycz
Erica Moreira
Rewon Child
Oleksandr Polozov
Katherine Lee
Zongwei Zhou
Xuezhi Wang
Brennan Saeta
Mark Diaz
Orhan Firat
Michele Catasta
Jason Wei
Kathy Meier-Hellstern
Douglas Eck
Jeff Dean
Slav Petrov
Noah Fiedel
arxiv:2204.02311 (2022)
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Adam Roberts
Colin Raffel
Katherine Lee
Michael Matena
Noam Shazeer
Peter J. Liu
Sharan Narang
Wei Li
Yanqi Zhou
Google (2019)
Hallucinations in Neural Machine Translation
Ashish Agarwal
Clara Wong-Fannjiang
David Sussillo
Katherine Lee
Orhan Firat
ICLR (2018) (to appear)
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