Quoc V Le

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

Achievements

+18 more ↓

🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (17) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird

🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🏠 Conference Loyalist (35) 🌟 Keyword Trendsetter Combo (17) 📛 The Namer 🤝 Dynamic Duo (16) 👑 Triple Crown 🧬 Topic Evolution 👥 Mega-Team (20) 🌱 Topic Pioneer 🏆 Keyword Champion 🔥 Unstoppable (8) ⚡ Prolific Year (6) 🚀 Conference Pioneer 💎 Century Club (49) 🗃️ Keyword Collector (61) 📈 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