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Books and Theses
- 2016
[b1]Minh-Thang Luong:
Neural machine translation. Stanford University, USA, 2016
Journal Articles
- 2023
- [j3]Hieu Pham, Zihang Dai, Golnaz Ghiasi, Kenji Kawaguchi, Hanxiao Liu, Adams Wei Yu, Jiahui Yu, Yi-Ting Chen, Minh-Thang Luong, Yonghui Wu, Mingxing Tan, Quoc V. Le:
Combined scaling for zero-shot transfer learning. Neurocomputing 555: 126658 (2023) - 2013
- [j2]Minh-Thang Luong, Michael C. Frank, Mark Johnson:
Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning. Trans. Assoc. Comput. Linguistics 1: 315-326 (2013) - 2010
- [j1]Minh-Thang Luong, Thuy Dung Nguyen, Min-Yen Kan:
Logical Structure Recovery in Scholarly Articles with Rich Document Features. Int. J. Digit. Libr. Syst. 1(4): 1-23 (2010)
Conference and Workshop Papers
- 2023
- [c25]Long Phan, Tai Dang, Hieu Tran, Trieu H. Trinh, Vy Phan, Lam D. Chau, Minh-Thang Luong:
Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation. EACL 2023: 3123-3134 - 2021
- [c24]Sneha Kudugunta, Yanping Huang, Ankur Bapna, Maxim Krikun, Dmitry Lepikhin, Minh-Thang Luong, Orhan Firat:
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference. EMNLP (Findings) 2021: 3577-3599 - [c23]Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer:
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. EMNLP (1) 2021: 5715-5731 - 2020
- [c22]Qizhe Xie, Minh-Thang Luong, Eduard H. Hovy, Quoc V. Le:
Self-Training With Noisy Student Improves ImageNet Classification. CVPR 2020: 10684-10695 - [c21]Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning:
Pre-Training Transformers as Energy-Based Cloze Models. EMNLP (1) 2020: 285-294 - [c20]Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning:
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. ICLR 2020 - 2019
- [c19]Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le:
BAM! Born-Again Multi-Task Networks for Natural Language Understanding. ACL (1) 2019: 5931-5937 - [c18]Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh:
Findings of the Third Workshop on Neural Generation and Translation. NGT@EMNLP-IJCNLP 2019: 1-14 - 2018
- [c17]Alexandra Birch, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Yusuke Oda:
Findings of the Second Workshop on Neural Machine Translation and Generation. NMT@ACL 2018: 1-10 - [c16]Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le:
Semi-Supervised Sequence Modeling with Cross-View Training. EMNLP 2018: 1914-1925 - [c15]Trieu H. Trinh, Andrew M. Dai, Minh-Thang Luong, Quoc V. Le:
Learning Longer-term Dependencies in RNNs with Auxiliary Losses. ICLR (Workshop) 2018 - [c14]Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le:
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension. ICLR (Poster) 2018 - 2017
- [c13]Denny Britz, Melody Y. Guan, Minh-Thang Luong:
Efficient Attention using a Fixed-Size Memory Representation. EMNLP 2017: 392-400 - [c12]Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck:
Online and Linear-Time Attention by Enforcing Monotonic Alignments. ICML 2017: 2837-2846 - 2016
- [c11]Minh-Thang Luong, Christopher D. Manning:
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models. ACL (1) 2016 - [c10]Joern Wuebker, Spence Green, John DeNero, Sasa Hasan, Minh-Thang Luong:
Models and Inference for Prefix-Constrained Machine Translation. ACL (1) 2016 - [c9]Abigail See, Minh-Thang Luong, Christopher D. Manning:
Compression of Neural Machine Translation Models via Pruning. CoNLL 2016: 291-301 - [c8]Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser:
Multi-task Sequence to Sequence Learning. ICLR (Poster) 2016 - 2015
- [c7]Jiwei Li, Minh-Thang Luong, Dan Jurafsky:
A Hierarchical Neural Autoencoder for Paragraphs and Documents. ACL (1) 2015: 1106-1115 - [c6]Minh-Thang Luong, Christopher D. Manning:
Stanford neural machine translation systems for spoken language domains. IWSLT (Evaluation Campaign) 2015 - 2011
- [c5]Khe Chai Sim, Minh-Thang Luong:
A Trajectory-based Parallel Model Combination with a unified static and dynamic parameter compensation for noisy speech recognition. ASRU 2011: 107-112 - 2010
- [c4]Minh-Thang Luong, Min-Yen Kan:
Enhancing Morphological Alignment for Translating Highly Inflected Languages. COLING 2010: 743-751 - [c3]Minh-Thang Luong, Preslav Nakov, Min-Yen Kan:
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. EMNLP 2010: 148-157 - [c2]Thuy Dung Nguyen, Min-Yen Kan, Dinh-Trung Dang, Markus Hänse, Ching Hoi Andy Hong, Minh-Thang Luong, Jesse Prabawa Gozali, Kazunari Sugiyama
, Yee Fan Tan:
ForeCite: towards a reader-centric scholarly digital library. JCDL 2010: 387-388 - [c1]Thuy Dung Nguyen, Minh-Thang Luong:
WINGNUS: Keyphrase Extraction Utilizing Document Logical Structure. SemEval@ACL 2010: 166-169
Editorship
- 2018
- [e1]Alexandra Birch, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Yusuke Oda:
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, NMT@ACL 2018, Melbourne, Australia, July 20, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-40-7 [contents]
Informal and Other Publications
- 2022
- [i26]Chinh Ngo, Trieu H. Trinh, Long Phan, Hieu Tran, Tai Dang, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong:
MTet: Multi-domain Translation for English and Vietnamese. CoRR abs/2210.05610 (2022) - 2021
- [i25]Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer:
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. CoRR abs/2109.06270 (2021) - [i24]Sneha Kudugunta, Yanping Huang, Ankur Bapna, Maxim Krikun, Dmitry Lepikhin, Minh-Thang Luong, Orhan Firat:
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference. CoRR abs/2110.03742 (2021) - [i23]Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le:
Combined Scaling for Zero-shot Transfer Learning. CoRR abs/2111.10050 (2021) - 2020
- [i22]Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, Quoc V. Le:
Towards a Human-like Open-Domain Chatbot. CoRR abs/2001.09977 (2020) - [i21]Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning:
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. CoRR abs/2003.10555 (2020) - [i20]Vikas Verma, Minh-Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le:
Towards Domain-Agnostic Contrastive Learning. CoRR abs/2011.04419 (2020) - [i19]Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning:
Pre-Training Transformers as Energy-Based Cloze Models. CoRR abs/2012.08561 (2020) - 2019
- [i18]Qizhe Xie, Zihang Dai, Eduard H. Hovy, Minh-Thang Luong, Quoc V. Le:
Unsupervised Data Augmentation. CoRR abs/1904.12848 (2019) - [i17]Trieu H. Trinh, Minh-Thang Luong, Quoc V. Le:
Selfie: Self-supervised Pretraining for Image Embedding. CoRR abs/1906.02940 (2019) - [i16]Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le:
BAM! Born-Again Multi-Task Networks for Natural Language Understanding. CoRR abs/1907.04829 (2019) - [i15]Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh:
Findings of the Third Workshop on Neural Generation and Translation. CoRR abs/1910.13299 (2019) - [i14]Qizhe Xie, Eduard H. Hovy, Minh-Thang Luong, Quoc V. Le:
Self-training with Noisy Student improves ImageNet classification. CoRR abs/1911.04252 (2019) - [i13]Minh-Thang Luong, Preslav Nakov, Min-Yen Kan:
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. CoRR abs/1911.08117 (2019) - 2018
- [i12]Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le:
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension. CoRR abs/1804.09541 (2018) - [i11]Alexandra Birch, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Yusuke Oda:
Findings of the Second Workshop on Neural Machine Translation and Generation. CoRR abs/1806.02940 (2018) - [i10]Tsung-Hsien Wen, Minh-Thang Luong:
Latent Topic Conversational Models. CoRR abs/1809.07070 (2018) - [i9]Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le:
Semi-Supervised Sequence Modeling with Cross-View Training. CoRR abs/1809.08370 (2018) - 2017
- [i8]Denny Britz, Anna Goldie, Minh-Thang Luong, Quoc V. Le:
Massive Exploration of Neural Machine Translation Architectures. CoRR abs/1703.03906 (2017) - [i7]Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck:
Online and Linear-Time Attention by Enforcing Monotonic Alignments. CoRR abs/1704.00784 (2017) - [i6]Denny Britz, Melody Y. Guan, Minh-Thang Luong:
Efficient Attention using a Fixed-Size Memory Representation. CoRR abs/1707.00110 (2017) - [i5]Ignacio Cases, Minh-Thang Luong, Christopher Potts:
On the Effective Use of Pretraining for Natural Language Inference. CoRR abs/1710.02076 (2017) - 2016
- [i4]Minh-Thang Luong, Christopher D. Manning:
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models. CoRR abs/1604.00788 (2016) - [i3]Abigail See, Minh-Thang Luong, Christopher D. Manning:
Compression of Neural Machine Translation Models via Pruning. CoRR abs/1606.09274 (2016) - 2015
- [i2]Jiwei Li, Minh-Thang Luong, Dan Jurafsky:
A Hierarchical Neural Autoencoder for Paragraphs and Documents. CoRR abs/1506.01057 (2015) - [i1]Minh-Thang Luong, Hieu Pham, Christopher D. Manning:
Effective Approaches to Attention-based Neural Machine Translation. CoRR abs/1508.04025 (2015)
Coauthor Index
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