Le, Quoc V.

A Simple Method for Commonsense Reasoning

Trinh, T. H., & Le, Q. V. (2018) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 293

The evolved transformer

So, D. R., Liang, C., & Le, Q. V. (2019) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 277

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Suzgun, M., Scales, N., Schärli, N., Gehrmann, S., Tay, Y., Chung, H. W., Chowdhery, A., Le, Q., Chi, E., Zhou, D., et al. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingNatural Language Processing Techniques

Cited by 253

Unsupervised Pretraining for Sequence to Sequence Learning

Ramachandran, P., Liu, P., & Le, Q. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 251

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition

Zhang, Y., Park, D. S., Han, W., Qin, J., Gulati, A., Shor, J., Jansen, A., Xu, Y., Huang, Y., Wang, S., et al. (2022) · IEEE Journal of Selected Topics in Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 161

Large Language Models as Optimizers

Yang, C., Wang, X., Lu, Y., Liu, H., Le, Q. V., Zhou, D., & Chen, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 151

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Real, E., Liang, C., So, D. R., & Le, Q. V. (2020) · arXiv

Evolutionary Algorithms and ApplicationsMachine Learning and Data Classification

Cited by 143

Transformer Quality in Linear Time

Hua, W., Dai, Z., Liu, H., & Le, Q. V. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 137

HyperNetworks

Ha, D., Dai, A., & Le, Q. V. (2016) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 100

Multi-Task Self-Training for Learning General Representations

Ghiasi, G., Zoph, B., Cubuk, E. D., Le, Q. V., & Lin, T.-Y. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 84

SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network

Chan, W., Park, D., Lee, C., Zhang, Y., Le, Q., & Norouzi, M. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 79

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Vu, T., Iyyer, M., Wang, X., Constant, N., Wei, J., Wei, J., Tar, C., Sung, Y.-H., Zhou, D., Le, Q., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingInformation Retrieval and Search Behavior

Cited by 73

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Noise2Music: Text-conditioned Music Generation with Diffusion Models

Huang, Q., Park, D. S., Wang, T., Denk, T. I., Ly, A., Chen, N., Zhang, Z., Zhang, Z., Yu, J., Frank, C., et al. (2023) · arXiv

Music and Audio ProcessingMusic Technology and Sound Studies

Cited by 49

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Suzgun, M., Scales, N., Schärli, N., Gehrmann, S., Tay, Y., Chung, H. W., Chowdhery, A., Le, Q. V., Chi, E. H., Zhou, D., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 44

Long-form factuality in large language models

Wei, J., Yang, C., Song, X., Lu, Y., Hu, N., Huang, J., Tran, D., Peng, D., Liu, R., Huang, D., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 36

Simple synthetic data reduces sycophancy in large language models

Wei, J., Huang, D., Lu, Y., Zhou, D., & Le, Q. V. (2023) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 28

Inverse Scaling Can Become U-Shaped

Wei, J., Kim, N., Tay, Y., & Le, Q. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 25

BIG-Bench Extra Hard

Kazemi, M., Fatemi, B., Bansal, H., Palowitch, J., Anastasiou, C., Mehta, S. V., Jain, L. K., Aglietti, V., Jindal, D., Chen, P., et al. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 15

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Brown, B., Juravsky, J., Ehrlich, R., Clark, R., Le, Q. V., Ré, C., & Mirhoseini, A. (2024) · arXiv

Topic ModelingSoftware Engineering Research

Cited by 14

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Vu, T., Iyyer, M., Wang, X., Constant, N., Wei, J., Wei, J., Tar, C., Sung, Y.-H., Zhou, D., Le, Q., et al. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 7

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Chu, T., Zhai, Y., Yang, J., Tong, S., Xie, S., Schuurmans, D., Le, Q. V., Levine, S., & Ma, Y. (2025) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 7

Towards Robust Mathematical Reasoning

Luong, T., Hwang, D., Nguyen, H. H., Ghiasi, G., Chervonyi, Y., Seo, I., Kim, J., Bingham, G., Lee, J., Mishra, S., et al. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 4

Towards Autonomous Mathematics Research

Feng, T., Trinh, T. H., Bingham, G., Hwang, D., Chervonyi, Y., Jung, J., Lee, J., Pagano, C., Kim, S.-H., Pasqualotto, F., et al. (2026) · arXiv

Artificial Intelligence ApplicationsMathematics, Computing, and Information Processing

Cited by 3