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Quoc V Le

49 papers · 2006–2025 · 6 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (19) πŸ—ΊοΈ Taxonomy Completionist (17) 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (35) 🌟 Keyword Trendsetter Combo (17) πŸ“› The Namer 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ‘₯ Mega-Team (20) 🌱 Topic Pioneer πŸ† Keyword Champion πŸ”₯ Unstoppable (8) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (49) πŸ—ƒοΈ Keyword Collector (61) πŸ“ˆ Trend Setter

Conferences

NIPS (35) ICLR (6) ICML (5) ACL (1) AUTOML (1) EMNLP (1)

Top co-authors

Quoc V. Le (16) Hanxiao Liu (10) Yifeng Lu (7) Denny Zhou (7) Zihang Dai (6) Jason Wei (5) Ed H. Chi (5) Nan Du (4) Andrew Y. Ng (4) Xuezhi Wang (4)

Research topics

Core AI (1)

Keywords

image classification (7) large language model (5) transformer architecture (4) convolutional neural network (4) neural network (4) neural architecture search (4) language modeling (3) text classification (3) language model (3) semi-supervised learning (3) data augmentation (3) structured prediction (3) efficient computing (2) neural network training (2) feature learning (2) model parallelism (2) vision transformer (2) machine translation (2) convex optimization (2) policy gradient (2)

Papers

Towards Robust Mathematical Reasoning EMNLP 2025
Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs ICML 2025
BIG-Bench Extra Hard ACL 2025
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training ICML 2025
EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration ICML 2025
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures NIPS 2024
Long-form factuality in large language models NIPS 2024
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search AUTOML 2024
Large Language Models as Optimizers ICLR 2024
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models ICLR 2024
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning ICML 2023
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models ICLR 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models ICLR 2023
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining NIPS 2023
Symbolic Discovery of Optimization Algorithms NIPS 2023
Brainformers: Trading Simplicity for Efficiency ICML 2023
Mixture-of-Experts with Expert Choice Routing NIPS 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models NIPS 2022
Finetuned Language Models are Zero-Shot Learners ICLR 2022
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets NIPS 2022
Searching for Efficient Transformers for Language Modeling NIPS 2021
CoAtNet: Marrying Convolution and Attention for All Data Sizes NIPS 2021
Evolving Reinforcement Learning Algorithms ICLR 2021
Pay Attention to MLPs NIPS 2021
RandAugment: Practical Automated Data Augmentation with a Reduced Search Space NIPS 2020
PyGlove: Symbolic Programming for Automated Machine Learning NIPS 2020
Rethinking Pre-training and Self-training NIPS 2020
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing NIPS 2020
Unsupervised Data Augmentation for Consistency Training NIPS 2020
Evolving Normalization-Activation Layers NIPS 2020
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism NIPS 2019
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks NIPS 2019
CondConv: Conditionally Parameterized Convolutions for Efficient Inference NIPS 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding NIPS 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision NIPS 2019
Mixtape: Breaking the Softmax Bottleneck Efficiently NIPS 2019
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing NIPS 2018
DropBlock: A regularization method for convolutional networks NIPS 2018
An Online Sequence-to-Sequence Model Using Partial Conditioning NIPS 2016
Semi-supervised Sequence Learning NIPS 2015
Sequence to Sequence Learning with Neural Networks NIPS 2014
Large Scale Distributed Deep Networks NIPS 2012
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NIPS 2011
Tiled convolutional neural networks NIPS 2010
Measuring Invariances in Deep Networks NIPS 2009
Tighter Bounds for Structured Estimation NIPS 2008
Bundle Methods for Machine Learning NIPS 2007
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking NIPS 2007
Learning to Rank with Nonsmooth Cost Functions NIPS 2006