Better Word Representations with Recursive Neural Networks for Morphology. - Thang Luong; Richard Socher; Christopher D. Manning (CoNLL, 2013)

Addressing the Rare Word Problem in Neural Machine Translation. - Thang Luong; Ilya Sutskever; Quoc V. Le; Oriol Vinyals; Wojciech Zaremba (ACL (1), 2015)

Deep Neural Language Models for Machine Translation. - Thang Luong; Michael Kayser; Christopher D. Manning (CoNLL, 2015)

When Are Tree Structures Necessary for Deep Learning of Representations? - Jiwei Li 001; Thang Luong; Dan Jurafsky; Eduard H. Hovy (EMNLP, 2015)

Effective Approaches to Attention-based Neural Machine Translation. - Thang Luong; Hieu Pham; Christopher D. Manning (EMNLP, 2015)

Bilingual Word Representations with Monolingual Quality in Mind. - Thang Luong; Hieu Pham; Christopher D. Manning (VS@HLT-NAACL, 2015)

Learning Distributed Representations for Multilingual Text Sequences. - Hieu Pham; Thang Luong; Christopher D. Manning (VS@HLT-NAACL, 2015)

Learning Longer-term Dependencies in RNNs with Auxiliary Losses. - Trieu H. Trinh; Andrew M. Dai; Thang Luong; Quoc V. Le (ICML, 2018)

Mixtape: Breaking the Softmax Bottleneck Efficiently. - Zhilin Yang 001; Thang Luong; Ruslan Salakhutdinov; Quoc V. Le (NeurIPS, 2019)

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 (NeurIPS, 2020)

Unsupervised Data Augmentation for Consistency Training. - Qizhe Xie; Zihang Dai; Eduard H. Hovy; Thang Luong; Quoc Le 001 (NeurIPS, 2020)

Towards Domain-Agnostic Contrastive Learning. - Vikas Verma; Thang Luong; Kenji Kawaguchi; Hieu Pham 001; Quoc V. Le (ICML, 2021)

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; et al. (Trans. Mach. Learn. Res., 2022)

Symbolic Discovery of Optimization Algorithms. - Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Hieu Pham 001; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le (NeurIPS, 2023)

Symbolic Discovery of Optimization Algorithms. - Xiangning Chen; Chen Liang; Da Huang; Esteban Real; Kaiyuan Wang; Yao Liu; Hieu Pham 001; Xuanyi Dong; Thang Luong; Cho-Jui Hsieh; Yifeng Lu; Quoc V. Le (CoRR, 2023)

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. - Tu Vu; Mohit Iyyer; Xuezhi Wang 002; Noah Constant; Jerry W. Wei; Jason Wei; Chris Tar; Yun-Hsuan Sung; Denny Zhou; Quoc V. Le; Thang Luong (ACL (Findings), 2024)

HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning. - Zhecan Wang; Garrett Bingham; Adams Wei Yu; Quoc V. Le; Thang Luong; Golnaz Ghiasi (ECCV (77), 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 Yu; Quoc V. Le; Thang Luong; Golnaz Ghiasi (CoRR, 2024)

Solving olympiad geometry without human demonstrations. - Trieu H. Trinh; Yuhuai Wu; Quoc V. Le; He He; Thang Luong (Nat., 2024)

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, 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, 2025)