2014 · Language models
Sequence to Sequence Learning with Neural Networks
Selected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextQuoc V. Le
Language modelsOfficial profile
Learning sequence representations and scaling neural networks.
Le’s research spans learned representations, sequence models, and automated model design. This selection connects neural translation and document representations with architecture search and efficient visual networks, alongside more recent work on scientific and mathematical reasoning.
Selected work
10 papers
2011 · Machine learning
Building high-level features using large scale unsupervised learning
Selected research in machine learning, efficient ai. Read the full paper, including the methods, experiments, and reported results.
Paper & context2014 · Language models
Distributed Representations of Sentences and Documents
Selected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & context2016 · Language models
Neural Architecture Search with Reinforcement Learning
Selected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & context2019 · Language models
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Selected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & context2018 · Language models
AutoAugment: Learning Augmentation Policies from Data
Selected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & context2016 · Efficient AI
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Selected research in efficient ai, language models. Read the full paper, including the methods, experiments, and reported results.
Paper & context2022 · Reasoning
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-thought prompting explores whether intermediate reasoning examples improve language-model performance on multi-step tasks.
Paper & context2017 · Architecture
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Sparsely gated mixture-of-experts layers explore conditional computation using a learned routing network.
Paper & context2026 · Language models
Accelerating Scientific Research with Gemini in the Real-World
Selected research in language models. Read the full paper, including the methods, experiments, and reported results.
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