---
title: "Thang Luong — all works — Elamur Research"
description: "All 36 works of Thang Luong in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/thang-luong/works/"
---
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# Thang Luong — all works

36 works · [← Thang Luong](https://md.research.elamur.ai/free/en/authors/thang-luong/)

1. **[Effective Approaches to Attention-based Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/luong-2015-effective-approaches-attention-based-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Thang Luong, Hieu Pham, Christopher D. Manning*2015 · 9,718 citations*
2. **[Self-Training With Noisy Student Improves ImageNet Classification ↗](https://doi.org/10.1109/cvpr42600.2020.01070) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Qizhe Xie et al.*2020 · 2,536 citations*
3. **[Better Word Representations with Recursive Neural Networks for Morphology](https://md.research.elamur.ai/free/en/papers/luong-2013-better-word-representations-recursive-neural/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Thang Luong, Richard Socher, Christopher Manning*2013 · 1,027 citations*
4. **[Addressing the Rare Word Problem in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/luong-2015-addressing-rare-word-problem-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Thang Luong, Ilya Sutskever, Quoc Le, et al.*2015 · 832 citations*
5. **[Stanford neural machine translation systems for spoken language domains ↗](https://aclanthology.org/2015.iwslt-evaluation.11/) Proceedings of the 12th International Workshop on Spoken Language Translation: Evaluation Campaign · no summary yet**Minh-Thang Luong, Christopher Manning*2015 · 580 citations*
6. **[Solving olympiad geometry without human demonstrations](https://md.research.elamur.ai/free/en/papers/trinh-2024-solving-olympiad-geometry-without-human/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Trieu H. Trinh, Yuhuai Wu, Quoc V. Le, et al.*2024 · 498 citations*
7. **[Bilingual Word Representations with Monolingual Quality in Mind](https://md.research.elamur.ai/free/en/papers/luong-2015-bilingual-word-representations-monolingual-quality/) [Workshop on Vector Space Modeling for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-vector-space-modeling-for-natural-language-processing/)**Thang Luong, Hieu Pham, Christopher D. Manning*2015 · 456 citations*
8. **[Symbolic Discovery of Optimization Algorithms ↗](https://arxiv.org/abs/2302.06675) arXiv:2302.06675 · no summary yet**Xiangning Chen et al.*2023 · 297 citations*
9. **[A Hierarchical Neural Autoencoder for Paragraphs and Documents ↗](https://arxiv.org/abs/1506.01057) arXiv:1506.01057 · no summary yet**Jiwei Li, Minh-Thang Luong, Dan Jurafsky*2015 · 287 citations*
10. **[Online and Linear-Time Attention by Enforcing Monotonic Alignments ↗](https://arxiv.org/abs/1704.00784) arXiv (Cornell University) · no summary yet**Colin Raffel et al.*2017 · 267 citations*
11. **[When Are Tree Structures Necessary for Deep Learning of Representations?](https://md.research.elamur.ai/free/en/papers/li-2015-when-are-tree-structures-necessary/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Thang Luong, Dan Jurafsky, et al.*2015 · 267 citations*
12. **[Compression of Neural Machine Translation Models via Pruning ↗](https://aclanthology.org/K16-1029/) Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning · no summary yet**Abigail See, Minh-Thang Luong, Christopher D. Manning*2016 · 232 citations*
13. [**FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation arXiv:2310.03214**Tu Vu, Mohit Iyyer, Xuezhi Wang, et al.*2023 · 134 citations*](https://md.research.elamur.ai/free/en/papers/vu-2023-freshllms-refreshing-large-language-models/)
14. **[Learning Longer-term Dependencies in RNNs with Auxiliary Losses ↗](https://arxiv.org/abs/1803.00144) arXiv (Cornell University) · no summary yet**Trieu H. Trinh et al.*2018 · 104 citations*
15. **[Pre-Training Transformers as Energy-Based Cloze Models ↗](https://aclanthology.org/2020.emnlp-main.20/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Kevin Clark et al.*2020 · 98 citations*
16. **[Learning Distributed Representations for Multilingual Text Sequences ↗](https://aclanthology.org/W15-1512/) Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing · no summary yet**Hieu Pham, Thang Luong, Christopher Manning*2015 · 79 citations*
17. **[Selfie: Self-supervised Pretraining for Image Embedding ↗](https://arxiv.org/abs/1906.02940) arXiv (Cornell University) · no summary yet**Trieu H. Trinh, Minh-Thang Luong, Quoc Viet Le*2019 · 78 citations*
18. **[FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation ↗](https://aclanthology.org/2024.findings-acl.813/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Tu Vu et al.*2024 · 74 citations*
19. **[STraTA: Self-Training with Task Augmentation for Better Few-shot Learning ↗](https://aclanthology.org/2021.emnlp-main.462/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tu Vu et al.*2021 · 52 citations*
20. **[Deep Neural Language Models for Machine Translation ↗](https://aclanthology.org/K15-1031/) Proceedings of the Nineteenth Conference on Computational Natural Language Learning · no summary yet**Thang Luong, Michael Kayser, Christopher D. Manning*2015 · 49 citations*
21. **[Towards Robust Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/luong-2025-robust-mathematical-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Thang Luong, Dawsen Hwang, Hoang H Nguyen, et al.*2025 · 40 citations*
22. **[Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2 ↗](https://arxiv.org/abs/2502.03544) arXiv:2502.03544 · no summary yet**Yuri Chervonyi et al.*2025 · 31 citations*
23. **[Combined Scaling for Zero-shot Transfer Learning ↗](https://arxiv.org/abs/2111.10050) arXiv:2111.10050 · no summary yet**Hieu Pham et al.*2021 · 31 citations*
24. **[Findings of the Third Workshop on Neural Generation and Translation ↗](https://aclanthology.org/D19-5601/) Proceedings of the 3rd Workshop on Neural Generation and Translation · no summary yet**Hiroaki Hayashi et al.*2019 · 28 citations*
25. **[Neural Machine Translation ↗](https://openalex.org/W3089109144) no summary yet**Minh-Thang Luong, Kyunghyun Cho, Christopher D. Manning*2016 · 28 citations*
26. **[HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning ↗](https://doi.org/10.1007/978-3-031-72980-5_17) Lecture notes in computer science · no summary yet**Zhecan Wang et al.*2024 · 18 citations*
27. **[Findings of the Second Workshop on Neural Machine Translation and Generation ↗](https://aclanthology.org/W18-2701/) Proceedings of the 2nd Workshop on Neural Machine Translation and Generation · no summary yet**Alexandra Birch et al.*2018 · 16 citations*
28. **[Towards Autonomous Mathematics Research ↗](https://arxiv.org/abs/2602.10177) arXiv (Cornell University) · no summary yet**Tony Feng et al.*2026 · 13 citations*
29. **[Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems ↗](https://arxiv.org/abs/2601.22401) arXiv (Cornell University) · no summary yet**Tony Feng et al.*2026 · 12 citations*
30. **[Towards Domain-Agnostic Contrastive Learning ↗](https://arxiv.org/abs/2011.04419) arXiv (Cornell University) · no summary yet**Vikas Verma et al.*2020 · 12 citations*
31. **[On the Effective Use of Pretraining for Natural Language Inference ↗](https://arxiv.org/abs/1710.02076) arXiv (Cornell University) · no summary yet**Ignacio Cases, Minh-Thang Luong, Christopher E. Potts*2017 · 9 citations*
32. **[Mixtape: Breaking the Softmax Bottleneck Efficiently ↗](https://openalex.org/W2970184163) neural information processing systems · no summary yet**Zhilin Yang et al.*2019 · 8 citations*
33. **[Aletheia tackles FirstProof autonomously ↗](https://arxiv.org/abs/2602.21201) arXiv (Cornell University) · no summary yet**Tony Feng et al.*2026 · 6 citations*
34. **[Cross-View Training for Semi-Supervised Learning ↗](https://openalex.org/W2785554650) International Conference on Learning Representations · no summary yet**Kevin Clark, Minh-Thang Luong, Quoc Viet Le*2018 · 4 citations*
35. **[LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks ↗](https://arxiv.org/abs/2606.03303) arXiv:2606.03303 · no summary yet**Po-Nien Kung et al.*2026 · 3 citations*
36. **[EXPLORING NEURAL ARCHITECTURE SEARCH FOR LANGUAGE TASKS ↗](https://openalex.org/W2786248779) no summary yet**Minh-Thang Luong et al.*2018 · 3 citations*