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
Unified Functional Hashing in Automatic Machine Learning
arXiv 2023
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
doremi-optimizing-data-mixtures-speeds-up
Simple synthetic data reduces sycophancy in large language models
arXiv 2023
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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