---
title: "Quoc V. Le — papers"
description: "Quoc V. Le: 19 papers in the Elamur Research library (2014–2025) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/quoc-v-le/"
---
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# Quoc V. Le

19 papers on this site (2014–2025)

[OpenAlex](https://openalex.org/A5088551093) · [ORCID](https://orcid.org/0000-0002-1087-2844) · h-index 118 · 272 works · 146463 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training](https://md.research.elamur.ai/free/en/papers/chu-2025-sft-memorizes-rl-generalizes-comparative/) — Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al. · 2025
- [Large Language Monkeys: Scaling Inference Compute with Repeated Sampling](https://md.research.elamur.ai/free/en/papers/brown-2024-large-language-monkeys-scaling-inference/) — Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al. · 2024
- [Long-form factuality in large language models](https://md.research.elamur.ai/free/en/papers/wei-2024-long-form-factuality-large-language/) — Jerry Wei, Chengrun Yang, Xinying Song, et al. · 2024
- [Solving olympiad geometry without human demonstrations](https://md.research.elamur.ai/free/en/papers/trinh-2024-solving-olympiad-geometry-without-human/) — Trieu H. Trinh, Yuhuai Wu, Quoc V. Le, et al. · 2024
- [Large Language Models as Optimizers](https://md.research.elamur.ai/free/en/papers/yang-2023-large-language-models-optimizers/) — Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al. · 2023
- [The Flan Collection: Designing Data and Methods for Effective Instruction Tuning](https://md.research.elamur.ai/free/en/papers/longpre-2023-flan-collection-designing-data-methods/) — Shayne Longpre, Le Hou, Tu Vu, et al. · 2023
- [Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision](https://md.research.elamur.ai/free/en/papers/jia-2021-scaling-up-visual-vision-language/) — Chao Jia, Yinfei Yang, Ye Xia, et al. · 2021
- [Towards a Human-like Open-Domain Chatbot](https://md.research.elamur.ai/free/en/papers/adiwardana-2020-towards-human-like-open-domain/) — Daniel Adiwardana, Minh-Thang Luong, David R. So, et al. · 2020
- [BAM! Born-Again Multi-Task Networks for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/clark-2019-bam-born-again-multi-task/) — Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, et al. · 2019
- [EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/tan-2019-efficientnet-rethinking-model-scaling-convolutional/) — Mingxing Tan, Quoc V. Le · 2019
- [SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/park-2019-specaugment-simple-data-augmentation-method/) — Daniel S. Park, William Chan, Yu Zhang, et al. · 2019
- [Unsupervised Data Augmentation for Consistency Training](https://md.research.elamur.ai/free/en/papers/xie-2019-unsupervised-data-augmentation-consistency-training/) — Qizhe Xie, Zihang Dai, Eduard Hovy, et al. · 2019
- [XLNet: Generalized Autoregressive Pretraining for Language Understanding](https://md.research.elamur.ai/free/en/papers/yang-2019-xlnet-generalized-autoregressive-pretraining-language/) — Zhilin Yang, Zihang Dai, Yiming Yang, et al. · 2019
- [QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/yu-2018-qanet-combining-local-convolution-global/) — Adams Wei Yu, David Dohan, Minh-Thang Luong, et al. · 2018
- [Learning Transferable Architectures for Scalable Image Recognition](https://md.research.elamur.ai/free/en/papers/zoph-2017-learning-transferable-architectures-scalable-image/) — Barret Zoph, Vijay Vasudevan, Jonathon Shlens, et al. · 2017
- [Neural Architecture Search with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zoph-2016-neural-architecture-search-reinforcement-learning/) — Barret Zoph, Quoc V. Le · 2016
- [Multi-task Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/luong-2015-multi-task-sequence-sequence-learning/) — Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al. · 2015
- [Distributed Representations of Sentences and Documents](https://md.research.elamur.ai/free/en/papers/le-2014-distributed-representations-sentences-documents/) — Quoc V. Le, Tomas Mikolov · 2014
- [Grounded Compositional Semantics for Finding and Describing Images with Sentences](https://md.research.elamur.ai/free/en/papers/socher-2014-grounded-compositional-semantics-finding-describing/) — Richard Socher, Andrej Karpathy, Quoc V. Le, et al. · 2014