QL
Quoc V. Le
cs.LGcs.CLcs.CVcs.AIstat.MLcs.NEeess.AScs.SDcs.DCeess.IV
On Valency
published · living versionsW_zb7r6dq8·v1 · currentpublished
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
with Yonghui Wu, Mike Schuster, Zhifeng Chen, Mohammad Norouzi +26
1 version
Preprints & journals
163 papers in the corpus · 2007–2026Improving the Predictive Performance of Bootstrap Aggregating by Dirichlet Resampling2609.21454v1 · Quoc Viet Le, Joonha Park2026 · 0 citationsarXiv
AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions2312.08472v2 · Esteban Real, Mirko Rossini, Connal de Souza et al.2023 · 0 citationsarXiv
Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction?2511.08704v2 · Xinchen Yan, Chen Liang, Lijun Yu et al.2025 · 0 citationsarXiv
Author Correction: Solving olympiad geometry without human demonstrations.38396303 · Trinh, Trieu H, Wu, Yuhuai, Le, Quoc V et al.2026 · 0 citationsNature. 2024;627(8004):E8
Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry22502.03544v3 · Yuri Chervonyi, Trieu H. Trinh, Miroslav Ols'ak et al.2025 · 2 citationsarXiv
Towards Robust Mathematical Reasoning2511.01846v1 · Thang Luong, Dawsen Hwang, Hoang H. Nguyen et al.2025 · 0 citationsarXiv
EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration2410.06238v2 · Allen Nie, Yi Su, Bo Chang et al.2024 · 1 citationarXiv
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training2501.17161v2 · Tianzhe Chu, Yuexiang Zhai, Jihan Yang et al.2025 · 6 citationsarXiv
Gemini: A Family of Highly Capable Multimodal Models2312.11805v5 · Gemini Team Google: Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac et al.2023 · 838 citationsarXiv
BIG-Bench Extra Hard2502.19187v2 · Mehran Kazemi, Bahare Fatemi, Hritik Bansal et al.2025 · 0 citationsarXiv
Scalable Reinforcement Post-Training Beyond Static Human Prompts: Evolving Alignment via Asymmetric Self-Play2411.00062v3 · Ziyu Ye, Rishabh Agarwal, Tianqi Liu et al.2024 · 0 citationsarXiv
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling2407.21787v3 · Bradley Brown, Jordan Juravsky, Ryan Ehrlich et al.2024 · 12 citationsarXiv
Addendum: A graph placement methodology for fast chip design.39327495 · Goldie, Anna, Mirhoseini, Azalia, Yazgan, Mustafa et al.2024 · 11 citationsNature. 2024;634(8034):E10-E11
Author Correction: A graph placement methodology for fast chip design.35361999 · Mirhoseini, Azalia, Goldie, Anna, Yazgan, Mustafa et al.2024 · 5 citationsNature. 2022;604(7906):E24
Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries2409.12640v2 · Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni et al.2024 · 0 citationsarXiv
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning2407.15680v1 · Zhecan Wang, Garrett Bingham, Adams Yu et al.2024 · 7 citationsarXiv
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning2406.04520v1 · Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang et al.2024 · 4 citationsarXiv
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search2308.03290v2 · Jordan Dotzel, Gang Wu, Andrew Li et al.2023 · 1 citationarXiv
Brainformers: Trading Simplicity for Efficiency2306.00008v2 · Yanqi Zhou, Nan Du, Yanping Huang et al.2023 · 0 citationsarXiv
Large Language Models as Optimizers2309.03409v3 · Chengrun Yang, Xuezhi Wang, Yifeng Lu et al.2023 · 93 citationsarXiv
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models2310.06117v2 · Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen et al.2023 · 22 citationsarXiv
Simple synthetic data reduces sycophancy in large language models2308.03958v2 · Jerry Wei, Da Huang, Yifeng Lu et al.2023 · 28 citationsarXiv
Self-Discover: Large Language Models Self-Compose Reasoning Structures2402.03620v1 · Pei Zhou, Jay Pujara, Xiang Ren et al.2024 · 16 citationsarXiv
Solving olympiad geometry without human demonstrations.38233616 · Trinh, Trieu H, Wu, Yuhuai, Le, Quoc V et al.2024 · 299 citationsNature. 2024;625(7995):476-482
Symbol tuning improves in-context learning in language models2305.08298v2 · Jerry Wei, Le Hou, Andrew Lampinen et al.2023 · 28 citationsarXiv
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses2312.00763v1 · Xiao Ma, Swaroop Mishra, Ariel Liu et al.2023 · 32 citationsarXiv
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation2310.03214v2 · Tu Vu, Mohit Iyyer, Xuezhi Wang et al.2023 · 76 citationsarXiv
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining2305.10429v4 · Sang Michael Xie, Hieu Pham, Xuanyi Dong et al.2023 · 20 citationsarXiv
Inverse scaling can become U-shaped2211.02011v5 · Jason Wei, Najoung Kim, Yi Tay et al.2022 · 22 citationsarXiv
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models2205.10625v3 · Denny Zhou, Nathanael Scharli, Le Hou et al.2022 · 324 citationsarXiv
Combined Scaling for Zero-shot Transfer Learning2111.10050v3 · Hieu Pham, Zihang Dai, Golnaz Ghiasi et al.2021 · 75 citationsarXiv
Self-Consistency Improves Chain of Thought Reasoning in Language Models2203.11171v4 · Xuezhi Wang, Jason Wei, Dale Schuurmans et al.2022 · 706 citationsarXiv
Noise2Music: Text-conditioned Music Generation with Diffusion Models2302.03917v2 · Qingqing Huang, Daniel S. Park, Tao Wang et al.2023 · 49 citationsarXiv
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning2301.13688v2 · Shayne Longpre, Le Hou, Tu Vu et al.2023 · 113 citationsarXiv
Unified Functional Hashing in Automatic Machine Learning2302.05433v1 · Ryan Gillard, Stephen Jonany, Yingjie Miao et al.2023 · 1 citationarXiv
PyGlove: Efficiently Exchanging ML Ideas as Code2302.01918v1 · Daiyi Peng, Xuanyi Dong, Esteban Real et al.2023 · 0 citationsarXiv
Scaling Instruction-Finetuned Language Models2210.11416v5 · Hyung Won Chung, Le Hou, Shayne Longpre et al.2022 · 1,174 citationsarXiv
Transcending Scaling Laws with 0.1% Extra Compute2210.11399v2 · Yi Tay, Jason Wei, Hyung Won Chung et al.2022 · 33 citationsarXiv
Evolving Reinforcement Learning Algorithms2101.03958v6 · John D. Co-Reyes, Yingjie Miao, Daiyi Peng et al.2021 · 19 citationsarXiv
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR2210.10879v2 · Gary Wang, Ekin D.Cubuk, Andrew Rosenberg et al.2022 · 2 citationsarXiv
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them2210.09261v1 · Mirac Suzgun, Nathan Scales, Nathanael Scharli et al.2022 · 276 citationsarXiv
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts2112.06905v2 · Nan Du, Yanping Huang, Andrew M. Dai et al.2021 · 165 citationsarXiv
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition2109.13226v3 · Yu Zhang, Daniel S. Park, Wei Han et al.2021 · 166 citationsarXiv
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition2010.10504v2 · Yu Zhang, James Qin, Daniel S. Park et al.2020 · 199 citationsarXiv
Rationale-Augmented Ensembles in Language Models2207.00747v1 · Xuezhi Wang, Jason Wei, Dale Schuurmans et al.2022 · 28 citationsarXiv
Transformer Quality in Linear Time2202.10447v2 · Weizhe Hua, Zihang Dai, Hanxiao Liu et al.2022 · 44 citationsarXiv
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation2203.12683v2 · Tianjian Meng, Golnaz Ghiasi, Reza Mahjourian et al.2022 · 4 citationsarXiv
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning2109.06270v2 · Tu Vu, Minh-Thang Luong, Quoc V. Le et al.2021 · 25 citationsarXiv
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection2203.08195v1 · Yingwei Li, Adams Wei Yu, Tianjian Meng et al.2022 · 565 citationsarXiv
LaMDA: Language Models for Dialog Applications2201.08239v3 · Romal Thoppilan, Daniel De Freitas, Jamie Hall et al.2022 · 696 citationsarXiv
Career total: 299 works. 163 are in this corpus.Showing the 50 most recent.
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