Thang Luong

According to our database, Thang Luong authored at least 27 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Aletheia tackles FirstProof autonomously.

Tony Feng, Junehyuk Jung, Sang-Hyun Kim, Carlo Pagano, Sergei Gukov, Cheng-Chiang Tsai, David P. Woodruff, Adel Javanmard, Aryan Mokhtari, Dawsen Hwang, Yuri Chervonyi, Jonathan N. Lee, Garrett Bingham, Trieu H. Trinh, Vahab Mirrokni, Quoc V. Le, Thang Luong

CoRR, February, 2026

Towards Autonomous Mathematics Research.

Tony Feng, Trieu H. Trinh, Garrett Bingham, Dawsen Hwang, Yuri Chervonyi, Junehyuk Jung, Joonkyung Lee, Carlo Pagano, Sang-hyun Kim, Federico Pasqualotto, Sergei Gukov, Jonathan N. Lee, Junsu Kim, Kaiying Hou, Golnaz Ghiasi, Yi Tay, YaGuang Li, Chenkai Kuang, Yuan Liu, Hanzhao Lin, Evan Zheran Liu, Nigamaa Nayakanti, Xiaomeng Yang, Heng-Tze Cheng, Demis Hassabis, Koray Kavukcuoglu, Quoc V. Le, Thang Luong

CoRR, February, 2026

Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems.

Tony Feng, Trieu H. Trinh, Garrett Bingham, Jiwon Kang, Shengtong Zhang, Sang-hyun Kim, Kevin Barreto, Carl Schildkraut, Junehyuk Jung, Jaehyeon Seo, Carlo Pagano, Yuri Chervonyi, Dawsen Hwang, Kaiying Hou, Sergei Gukov, Cheng-Chiang Tsai, Hyunwoo Choi, Youngbeom Jin, Wei-Yuan Li, Hao-An Wu, Ruey-An Shiu, Yu-Sheng Shih, Quoc V. Le, Thang Luong

CoRR, January, 2026

2025

Preferential Multi-Objective Bayesian Optimization for Drug Discovery.

Tai Dang, Long-Hung Pham, Sang T. Truong, Ari Glenn, Wendy Nguyen, Edward A. Pham, Jeffrey S. Glenn, Sanmi Koyejo, Thang Luong

CoRR, March, 2025

Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2.

Yuri Chervonyi, Trieu H. Trinh, Miroslav Olsák, Xiaomeng Yang, Hoang Nguyen, Marcelo Menegali, Junehyuk Jung, Vikas Verma, Quoc V. Le, Thang Luong

CoRR, February, 2025

Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2.

Yuri Chervonyi, Trieu H. Trinh, Miroslav Olsák, Xiaomeng Yang, Hoang H. Nguyen, Marcelo Menegali, Junehyuk Jung, Junsu Kim, Vikas Verma, Quoc V. Le, Thang Luong

J. Mach. Learn. Res., 2025

Towards Robust Mathematical Reasoning.

Thang Luong, Dawsen Hwang, Hoang H. Nguyen, Golnaz Ghiasi, Yuri Chervonyi, Insuk Seo, Junsu Kim, Garrett Bingham, Jonathan Lee, Swaroop Mishra, Alex Zhai, Clara Huiyi Hu, Henryk Michalewski, Jimin Kim, Jeonghyun Ahn, Junhwi Bae, Xingyou Song, Trieu H. Trinh, Quoc V. Le, Junehyuk Jung

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Solving olympiad geometry without human demonstrations.

Trieu H. Trinh, Yuhuai Wu, Quoc V. Le, He He, Thang Luong

Nat., January, 2024

HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning.

Zhecan Wang, Garrett Bingham, Adams Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi

CoRR, 2024

Novel Hardware Implementation of Deduplicating Visually Identical JPEG Image Chunks.

Thang Luong, Luan Dinh, Hung Nguyen, Linh H. Tran

IEEE Access, 2024

HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning.

Zhecan Wang, Garrett Bingham, Adams Wei Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi

Proceedings of the Computer Vision - ECCV 2024, 2024

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation.

Tu Vu, Mohit Iyyer, Xuezhi Wang, Noah Constant, Jerry W. Wei, Jason Wei, Chris Tar, Yun-Hsuan Sung, Denny Zhou, Quoc V. Le, Thang Luong

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Symbolic Discovery of Optimization Algorithms.

Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Yao Liu, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

CoRR, 2023

Symbolic Discovery of Optimization Algorithms.

Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, Yonghui Wu

Trans. Mach. Learn. Res., 2022

2021

Towards Domain-Agnostic Contrastive Learning.

Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Unsupervised Data Augmentation for Consistency Training.

Qizhe Xie, Zihang Dai, Eduard H. Hovy, Thang Luong, Quoc Le

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout.

Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Mixtape: Breaking the Softmax Bottleneck Efficiently.

Zhilin Yang, Thang Luong, Ruslan Salakhutdinov, Quoc V. Le

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Learning Longer-term Dependencies in RNNs with Auxiliary Losses.

Trieu H. Trinh, Andrew M. Dai, Thang Luong, Quoc V. Le

Proceedings of the 35th International Conference on Machine Learning, 2018

2015

Learning Distributed Representations for Multilingual Text Sequences.

Hieu Pham, Thang Luong, Christopher D. Manning

Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

Bilingual Word Representations with Monolingual Quality in Mind.

Thang Luong, Hieu Pham, Christopher D. Manning

Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

Effective Approaches to Attention-based Neural Machine Translation.

Thang Luong, Hieu Pham, Christopher D. Manning

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

When Are Tree Structures Necessary for Deep Learning of Representations?

Jiwei Li, Thang Luong, Dan Jurafsky, Eduard H. Hovy

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Deep Neural Language Models for Machine Translation.

Thang Luong, Michael Kayser, Christopher D. Manning

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Addressing the Rare Word Problem in Neural Machine Translation.

Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013

Better Word Representations with Recursive Neural Networks for Morphology.

Thang Luong, Richard Socher, Christopher D. Manning

Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013