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ORCIDThang Luong
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2020 – today
- 2024
[j3]Thang Luong
, Luan Dinh, Hung Nguyen, Linh H. Tran:
Novel Hardware Implementation of Deduplicating Visually Identical JPEG Image Chunks. IEEE Access 12: 69568-69577 (2024)- [j2]Trieu H. Trinh, Yuhuai Wu, Quoc V. Le, He He, Thang Luong:
Solving olympiad geometry without human demonstrations. Nat. 625(7995): 476-482 (2024) - [c15]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:
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. ACL (Findings) 2024: 13697-13720 - [c14]Zhecan Wang, Garrett Bingham, Adams Wei Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi:
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning. ECCV (77) 2024: 288-304 - [i7]Zhecan Wang, Garrett Bingham, Adams Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi:
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning. CoRR abs/2407.15680 (2024) - 2023
- [c13]Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le:
Symbolic Discovery of Optimization Algorithms. NeurIPS 2023 - [i6]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:
Symbolic Discovery of Optimization Algorithms. CoRR abs/2302.06675 (2023) - [i5]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:
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. CoRR abs/2310.03214 (2023) - 2022
- [j1]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:
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. Trans. Mach. Learn. Res. 2022 (2022) - [i4]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:
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. CoRR abs/2206.10789 (2022) - 2021
- [c12]Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le:
Towards Domain-Agnostic Contrastive Learning. ICML 2021: 10530-10541 - 2020
- [c11]Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov:
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. NeurIPS 2020 - [c10]Qizhe Xie, Zihang Dai, Eduard H. Hovy, Thang Luong, Quoc Le:
Unsupervised Data Augmentation for Consistency Training. NeurIPS 2020 - [i3]Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov:
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. CoRR abs/2010.06808 (2020)
2010 – 2019
- 2019
- [c9]Zhilin Yang, Thang Luong, Ruslan Salakhutdinov, Quoc V. Le:
Mixtape: Breaking the Softmax Bottleneck Efficiently. NeurIPS 2019: 15922-15930 - [e2]Alexandra Birch, Andrew M. Finch, Hiroaki Hayashi, Ioannis Konstas, Thang Luong, Graham Neubig, Yusuke Oda, Katsuhito Sudoh:
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, Hong Kong, November 4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-83-3 [contents] - 2018
- [c8]Trieu H. Trinh, Andrew M. Dai, Thang Luong, Quoc V. Le:
Learning Longer-term Dependencies in RNNs with Auxiliary Losses. ICML 2018: 4972-4981 - [i2]Trieu H. Trinh, Andrew M. Dai, Thang Luong, Quoc V. Le:
Learning Longer-term Dependencies in RNNs with Auxiliary Losses. CoRR abs/1803.00144 (2018) - 2017
- [e1]Thang Luong, Alexandra Birch, Graham Neubig, Andrew M. Finch:
Proceedings of the First Workshop on Neural Machine Translation, NMT@ACL 2017, Vancouver, Canada, August 4, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-68-5 [contents] - 2015
- [c7]Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba:
Addressing the Rare Word Problem in Neural Machine Translation. ACL (1) 2015: 11-19 - [c6]Thang Luong, Michael Kayser, Christopher D. Manning:
Deep Neural Language Models for Machine Translation. CoNLL 2015: 305-309 - [c5]Thang Luong, Hieu Pham, Christopher D. Manning:
Effective Approaches to Attention-based Neural Machine Translation. EMNLP 2015: 1412-1421 - [c4]Jiwei Li, Thang Luong, Dan Jurafsky, Eduard H. Hovy:
When Are Tree Structures Necessary for Deep Learning of Representations? EMNLP 2015: 2304-2314 - [c3]Hieu Pham, Thang Luong, Christopher D. Manning:
Learning Distributed Representations for Multilingual Text Sequences. VS@HLT-NAACL 2015: 88-94 - [c2]Thang Luong, Hieu Pham, Christopher D. Manning:
Bilingual Word Representations with Monolingual Quality in Mind. VS@HLT-NAACL 2015: 151-159 - 2014
- [i1]Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba:
Addressing the Rare Word Problem in Neural Machine Translation. CoRR abs/1410.8206 (2014) - 2013
- [c1]Thang Luong, Richard Socher, Christopher D. Manning:
Better Word Representations with Recursive Neural Networks for Morphology. CoNLL 2013: 104-113
Coauthor Index
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