Enhancing Morphological Alignment for Translating Highly Inflected Languages. - Minh-Thang Luong; Min-Yen Kan (COLING, 2010)

A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. - Minh-Thang Luong; Preslav Nakov; Min-Yen Kan (EMNLP, 2010)

ForeCite: towards a reader-centric scholarly digital library. - 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 (JCDL, 2010)

WINGNUS: Keyphrase Extraction Utilizing Document Logical Structure. - Thuy Dung Nguyen; Minh-Thang Luong (SemEval@ACL, 2010)

Logical Structure Recovery in Scholarly Articles with Rich Document Features. - Minh-Thang Luong; Thuy Dung Nguyen; Min-Yen Kan (Int. J. Digit. Libr. Syst., 2010)

A Trajectory-based Parallel Model Combination with a unified static and dynamic parameter compensation for noisy speech recognition. - Khe Chai Sim; Minh-Thang Luong (ASRU, 2011)

Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning. - Minh-Thang Luong; Michael C. Frank; Mark Johnson (Trans. Assoc. Comput. Linguistics, 2013)

A Hierarchical Neural Autoencoder for Paragraphs and Documents. - Jiwei Li 001; Minh-Thang Luong; Dan Jurafsky (ACL (1), 2015)

Stanford neural machine translation systems for spoken language domains. - Minh-Thang Luong; Christopher D. Manning (IWSLT (Evaluation Campaign), 2015)

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

Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models. - Minh-Thang Luong; Christopher D. Manning (ACL (1), 2016)

Models and Inference for Prefix-Constrained Machine Translation. - Joern Wuebker; Spence Green; John DeNero; Sasa Hasan; Minh-Thang Luong (ACL (1), 2016)

Compression of Neural Machine Translation Models via Pruning. - Abigail See; Minh-Thang Luong; Christopher D. Manning (CoNLL, 2016)

Multi-task Sequence to Sequence Learning. - Minh-Thang Luong; Quoc V. Le; Ilya Sutskever; Oriol Vinyals; Lukasz Kaiser (ICLR (Poster), 2016)

Neural machine translation. - Minh-Thang Luong (2016)

Efficient Attention using a Fixed-Size Memory Representation. - Denny Britz; Melody Y. Guan; Minh-Thang Luong (EMNLP, 2017)

Online and Linear-Time Attention by Enforcing Monotonic Alignments. - Colin Raffel; Minh-Thang Luong; Peter J. Liu; Ron J. Weiss; Douglas Eck (ICML, 2017)

Massive Exploration of Neural Machine Translation Architectures. - Denny Britz; Anna Goldie; Minh-Thang Luong; Quoc V. Le (CoRR, 2017)

On the Effective Use of Pretraining for Natural Language Inference. - Ignacio Cases; Minh-Thang Luong; Christopher Potts (CoRR, 2017)

Findings of the Second Workshop on Neural Machine Translation and Generation. - Alexandra Birch; Andrew M. Finch; Minh-Thang Luong; Graham Neubig; Yusuke Oda (NMT@ACL, 2018)

Semi-Supervised Sequence Modeling with Cross-View Training. - Kevin Clark; Minh-Thang Luong; Christopher D. Manning; Quoc V. Le (EMNLP, 2018)

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

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension. - Adams Wei Yu; David Dohan; Minh-Thang Luong; Rui Zhao; Kai Chen 010; Mohammad Norouzi 002; Quoc V. Le (ICLR (Poster), 2018)

Latent Topic Conversational Models. - Tsung-Hsien Wen; Minh-Thang Luong (CoRR, 2018)

BAM! Born-Again Multi-Task Networks for Natural Language Understanding. - Kevin Clark; Minh-Thang Luong; Urvashi Khandelwal; Christopher D. Manning; Quoc V. Le (ACL (1), 2019)

Findings of the Third Workshop on Neural Generation and Translation. - Hiroaki Hayashi; Yusuke Oda; Alexandra Birch; Ioannis Konstas; Andrew M. Finch; Minh-Thang Luong; Graham Neubig; Katsuhito Sudoh (NGT@EMNLP-IJCNLP, 2019)

Unsupervised Data Augmentation. - Qizhe Xie; Zihang Dai; Eduard H. Hovy; Minh-Thang Luong; Quoc V. Le (CoRR, 2019)

Selfie: Self-supervised Pretraining for Image Embedding. - Trieu H. Trinh; Minh-Thang Luong; Quoc V. Le (CoRR, 2019)

Self-Training With Noisy Student Improves ImageNet Classification. - Qizhe Xie; Minh-Thang Luong; Eduard H. Hovy; Quoc V. Le (CVPR, 2020)

Pre-Training Transformers as Energy-Based Cloze Models. - Kevin Clark; Minh-Thang Luong; Quoc V. Le; Christopher D. Manning (EMNLP (1), 2020)

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators. - Kevin Clark; Minh-Thang Luong; Quoc V. Le; Christopher D. Manning (ICLR, 2020)

Towards a Human-like Open-Domain Chatbot. - 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 (CoRR, 2020)

Towards Domain-Agnostic Contrastive Learning. - Vikas Verma; Minh-Thang Luong; Kenji Kawaguchi; Hieu Pham 001; Quoc V. Le (CoRR, 2020)

Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference. - Sneha Kudugunta; Yanping Huang; Ankur Bapna; Maxim Krikun; Dmitry Lepikhin; Minh-Thang Luong; Orhan Firat (EMNLP (Findings), 2021)

STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. - Tu Vu; Minh-Thang Luong; Quoc V. Le; Grady Simon; Mohit Iyyer (EMNLP (1), 2021)

Combined Scaling for Zero-shot Transfer Learning. - Hieu Pham 001; Zihang Dai; Golnaz Ghiasi; Hanxiao Liu; Adams Wei Yu; Minh-Thang Luong; Mingxing Tan; Quoc V. Le (CoRR, 2021)

MTet: Multi-domain Translation for English and Vietnamese. - Chinh Ngo; Trieu H. Trinh; Long Phan; Hieu Tran; Tai Dang; Hieu Nguyen; Minh Nguyen; Minh-Thang Luong (CoRR, 2022)

Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation. - Long Phan; Tai Dang; Hieu Tran; Trieu H. Trinh; Vy Phan; Lam D. Chau; Minh-Thang Luong (EACL, 2023)

Combined scaling for zero-shot transfer learning. - Hieu Pham 001; 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 (Neurocomputing, 2023)