Quoc V. Le
- Papers
- 22
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Authored papers
22BIG-Bench Extra Hard
arXiv 2025
Long-form factuality in large language models
arXiv 2024
Large Language Models as Optimizers
arXiv 2023
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
arXiv 2023
Simple synthetic data reduces sycophancy in large language models
arXiv 2023
Unified Functional Hashing in Automatic Machine Learning
arXiv 2023
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
doremi-optimizing-data-mixtures-speeds-up
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
ACL
Primer: Searching for Efficient Transformers for Language Modeling
arXiv 2021
EfficientNetV2: Smaller Models and Faster Training
arXiv 2021
Evolving Reinforcement Learning Algorithms
evolving-reinforcement-learning-algorithms
Meta Pseudo Labels
CVPR 2021 1
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
arXiv 2020
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
ICLR 2020 1
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
CVPR 2021 1
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
NeurIPS 2020 12
EfficientDet: Scalable and Efficient Object Detection
efficientdet-scalable-and-efficient-object-1
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
spinenet-learning-scale-permuted-backbone-for-1
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
efficientnet-rethinking-model-scaling-for-1
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
transformer-xl-attentive-language-models-1
XLNet: Generalized Autoregressive Pretraining for Language Understanding
xlnet-generalized-autoregressive-pretraining-1
Unsupervised Data Augmentation for Consistency Training
unsupervised-data-augmentation
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