Quoc V. Le

Quoc V. Le

Research Areas

Authored Publications
37 results

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    Solving olympiad geometry without human demonstrations
    Trieu Trinh
    Yuhuai Tony Wu
    Quoc Le
    He He
    Thang Luong
    Nature, 625 (2024), pp. 476-482
    Noise2Music: Text-conditioned Music Generation with Diffusion Models
    Qingqing Huang
    Daniel S. Park
    Tao Wang
    Timo Denk
    Andy Ly
    Nanxin Chen
    Zhengdong Zhang
    Zhishuai Zhang
    Jiahui Yu
    Christian Frank
    Jesse Engel
    Quoc V. Le
    William Chan
    Zhifeng Chen
    Wei Han
    (2023)
    The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
    Shayne Longpre
    Le Hou
    Tu Vu
    Albert Webson
    Hyung Won Chung
    Yi Tay
    Denny Zhou
    Quoc V. Le
    Barret Zoph
    Jason Wei
    Adam Roberts
    Proceedings of the 40th International Conference on Machine Learning, PMLR (2023), pp. 22631-22648
    Self-Consistency Improves Chain of Thought Reasoning in Language Models
    Xuezhi Wang
    Jason Wei
    Dale Schuurmans
    Quoc V. Le
    Ed H. Chi
    Sharan Narang
    Aakanksha Chowdhery
    Denny Zhou
    ICLR 2023 (to appear)
    LaMDA: Language Models for Dialog Applications
    Aaron Daniel Cohen
    Adam Roberts
    Alejandra Molina
    Alena Butryna
    Alicia Jin
    Apoorv Kulshreshtha
    Ben Hutchinson
    Ben Zevenbergen
    Blaise Hilary Aguera-Arcas
    Chung-ching Chang
    Claire Cui
    Cosmo Du
    Daniel De Freitas Adiwardana
    Dehao Chen
    Dmitry (Dima) Lepikhin
    Ed H. Chi
    Erin Hoffman-John
    Heng-Tze Cheng
    Hongrae Lee
    Igor Krivokon
    James Qin
    Jamie Hall
    Joe Fenton
    Johnny Soraker
    Kathy Meier-Hellstern
    Kristen Olson
    Lora Mois Aroyo
    Maarten Paul Bosma
    Marc Joseph Pickett
    Marcelo Amorim Menegali
    Marian Croak
    Mark Díaz
    Matthew Lamm
    Maxim Krikun
    Meredith Ringel Morris
    Noam Shazeer
    Quoc V. Le
    Rachel Bernstein
    Ravi Rajakumar
    Ray Kurzweil
    Romal Thoppilan
    Steven Zheng
    Taylor Bos
    Toju Duke
    Tulsee Doshi
    Vincent Y. Zhao
    Vinodkumar Prabhakaran
    Will Rusch
    YaGuang Li
    Yanping Huang
    Yanqi Zhou
    Yuanzhong Xu
    Zhifeng Chen
    arXiv (2022)
    The Carbon Footprint of Machine Learning Training Will Level Out and Then Reduce
    Chen Liang
    Dave Patterson
    David Richard So
    Jeff Dean
    Lluis-Miquel Munguia
    Maud Texier
    Quoc V. Le
    IEEE Computer (2022)
    Finetuned Language Models are Zero-Shot Learners
    Jason Wei
    Maarten Paul Bosma
    Vincent Zhao
    Kelvin Guu
    Adams Wei Yu
    Brian Lester
    Nan Du
    Andrew Mingbo Dai
    Quoc V. Le
    International Conference on Learning Representations (2022)
    Sparsely Activated Language Models are Efficient In-Context Learners
    Adams Yu
    Andrew Dai
    Barret Richard Zoph
    Claire Cui
    Dmitry (Dima) Lepikhin
    Emma Wang
    Kathy Meier-Hellstern
    Kellie Webster
    Kevin Robinson
    Kun Zhang
    Liam B. Fedus
    Lucas Dixon
    Maarten Paul Bosma
    Marie Pellat
    Maxim Krikun
    Nan Du
    Orhan Firat
    Quoc V. Le
    Simon Tong
    Tao Wang
    Toju Duke
    Yanping Huang
    Yanqi Zhou
    Yonghui Wu
    Yuanzhong Xu
    Zhifeng Chen
    Zongwei Zhou
    (2022)
    TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
    Chengrun Yang
    Gabriel M. Bender
    Hanxiao Liu
    Madeleine Udell
    Pieter-Jan Kindermans
    Yifeng Lu
    Quoc V. Le
    Da Huang
    Neural Information Processing Systems (2022)
    EfficientNetV2: Smaller Models and Faster Training
    Mingxing Tan
    Quoc V. Le
    International Conference on Machine Learning (ICML) (2021)
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