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Minh-Thang Luong — all works

37 works · ← Minh-Thang Luong

  1. Self-Training With Noisy Student Improves ImageNet Classification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetQizhe Xie et al.2020 · 2,536 citations
  2. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,871 citations
  3. QANet: Combining Local Convolution with Global Self-Attention for Reading ComprehensionarXiv:1804.09541Adams Wei Yu, David Dohan, Minh-Thang Luong, et al.2018 · 597 citations
  4. Towards a Human-like Open-Domain ChatbotarXiv:2001.09977Daniel Adiwardana, Minh-Thang Luong, David R. So, et al.2020 · 592 citations
  5. Stanford neural machine translation systems for spoken language domains ↗Proceedings of the 12th International Workshop on Spoken Language Translation: Evaluation Campaign · no summary yetMinh-Thang Luong, Christopher Manning2015 · 580 citations
  6. Multi-task Sequence to Sequence LearningarXiv:1511.06114Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al.2015 · 321 citations
  7. Symbolic Discovery of Optimization Algorithms ↗arXiv:2302.06675 · no summary yetXiangning Chen et al.2023 · 297 citations
  8. A Hierarchical Neural Autoencoder for Paragraphs and Documents ↗arXiv:1506.01057 · no summary yetJiwei Li, Minh-Thang Luong, Dan Jurafsky2015 · 287 citations
  9. Online and Linear-Time Attention by Enforcing Monotonic Alignments ↗arXiv (Cornell University) · no summary yetColin Raffel et al.2017 · 267 citations
  10. Compression of Neural Machine Translation Models via Pruning ↗Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning · no summary yetAbigail See, Minh-Thang Luong, Christopher D. Manning2016 · 232 citations
  11. Learning Longer-term Dependencies in RNNs with Auxiliary Losses ↗arXiv (Cornell University) · no summary yetTrieu H. Trinh et al.2018 · 104 citations
  12. Pre-Training Transformers as Energy-Based Cloze Models ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetKevin Clark et al.2020 · 98 citations
  13. Learning Distributed Representations for Multilingual Text Sequences ↗Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing · no summary yetHieu Pham, Thang Luong, Christopher Manning2015 · 79 citations
  14. Selfie: Self-supervised Pretraining for Image Embedding ↗arXiv (Cornell University) · no summary yetTrieu H. Trinh, Minh-Thang Luong, Quoc Viet Le2019 · 78 citations
  15. FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetTu Vu et al.2024 · 74 citations
  16. STraTA: Self-Training with Task Augmentation for Better Few-shot Learning ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetTu Vu et al.2021 · 52 citations
  17. Deep Neural Language Models for Machine Translation ↗Proceedings of the Nineteenth Conference on Computational Natural Language Learning · no summary yetThang Luong, Michael Kayser, Christopher D. Manning2015 · 49 citations
  18. Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2 ↗arXiv:2502.03544 · no summary yetYuri Chervonyi et al.2025 · 31 citations
  19. Combined Scaling for Zero-shot Transfer Learning ↗arXiv:2111.10050 · no summary yetHieu Pham et al.2021 · 31 citations
  20. Findings of the Third Workshop on Neural Generation and Translation ↗Proceedings of the 3rd Workshop on Neural Generation and Translation · no summary yetHiroaki Hayashi et al.2019 · 28 citations
  21. Neural Machine Translation ↗no summary yetMinh-Thang Luong, Kyunghyun Cho, Christopher D. Manning2016 · 28 citations
  22. HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning ↗Lecture notes in computer science · no summary yetZhecan Wang et al.2024 · 18 citations
  23. Findings of the Second Workshop on Neural Machine Translation and Generation ↗Proceedings of the 2nd Workshop on Neural Machine Translation and Generation · no summary yetAlexandra Birch et al.2018 · 16 citations
  24. Towards Autonomous Mathematics Research ↗arXiv (Cornell University) · no summary yetTony Feng et al.2026 · 13 citations
  25. Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems ↗arXiv (Cornell University) · no summary yetTony Feng et al.2026 · 12 citations
  26. Towards Domain-Agnostic Contrastive Learning ↗arXiv (Cornell University) · no summary yetVikas Verma et al.2020 · 12 citations
  27. On the Effective Use of Pretraining for Natural Language Inference ↗arXiv (Cornell University) · no summary yetIgnacio Cases, Minh-Thang Luong, Christopher E. Potts2017 · 9 citations
  28. Mixtape: Breaking the Softmax Bottleneck Efficiently ↗neural information processing systems · no summary yetZhilin Yang et al.2019 · 8 citations
  29. Aletheia tackles FirstProof autonomously ↗arXiv (Cornell University) · no summary yetTony Feng et al.2026 · 6 citations
  30. Cross-View Training for Semi-Supervised Learning ↗International Conference on Learning Representations · no summary yetKevin Clark, Minh-Thang Luong, Quoc Viet Le2018 · 4 citations
  31. LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks ↗arXiv:2606.03303 · no summary yetPo-Nien Kung et al.2026 · 3 citations
  32. EXPLORING NEURAL ARCHITECTURE SEARCH FOR LANGUAGE TASKS ↗no summary yetMinh-Thang Luong et al.2018 · 3 citations

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