Luong, Thang

10 publications

JMLR 2025 Gold-Medalist Performance in Solving Olympiad Geometry with AlphaGeometry2 Yuri Chervonyi, Trieu H. Trinh, Miroslav Olšák, Xiaomeng Yang, Hoang H. Nguyen, Marcelo Menegali, Junehyuk Jung, Junsu Kim, Vikas Verma, Quoc V. Le, Thang Luong

ICLRW 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

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

NeurIPS 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

TMLR 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

ICML 2021 Towards Domain-Agnostic Contrastive Learning Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc Le

NeurIPS 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

NeurIPS 2020 Unsupervised Data Augmentation for Consistency Training Qizhe Xie, Zihang Dai, Eduard Hovy, Thang Luong, Quoc V. Le

NeurIPS 2019 Mixtape: Breaking the SoftMax Bottleneck Efficiently Zhilin Yang, Thang Luong, Ruslan Salakhutdinov, Quoc V Le

ICML 2018 Learning Longer-Term Dependencies in RNNs with Auxiliary Losses Trieu Trinh, Andrew Dai, Thang Luong, Quoc Le