Thang Luong - RankMe

35 papers A* 9B 2Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aletheia tackles FirstProof autonomously. CoRR Tony Feng, Junehyuk Jung, Sang-hyun Kim, Carlo Pagano, Sergei Gukov, Cheng-Chiang Tsai, David P. Woodruff, Adel Javanmard, Aryan Mokhtari, Dawsen Hwang, Yuri Chervonyi, Jonathan N. Lee, Garrett Bingham, Trieu H. Trinh, Vahab Mirrokni, Quoc V. Le, Thang Luong
2026	J	`jnl`	Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems. CoRR Tony Feng, Trieu H. Trinh, Garrett Bingham, Jiwon Kang, Shengtong Zhang, Sang-hyun Kim, Kevin Barreto, Carl Schildkraut, Junehyuk Jung, Jaehyeon Seo, Carlo Pagano, Yuri Chervonyi, Dawsen Hwang, Kaiying Hou, Sergei Gukov, Cheng-Chiang Tsai, Hyunwoo Choi, Youngbeom Jin, Wei-Yuan Li, Hao-An Wu, Ruey-An Shiu, Yu-Sheng Shih, Quoc V. Le, Thang Luong
2026	J	`jnl`	Towards Autonomous Mathematics Research. CoRR Tony Feng, Trieu H. Trinh, Garrett Bingham, Dawsen Hwang, Yuri Chervonyi, Junehyuk Jung, Joonkyung Lee, Carlo Pagano, Sang-hyun Kim, Federico Pasqualotto, Sergei Gukov, Jonathan N. Lee, Junsu Kim, Kaiying Hou, Golnaz Ghiasi, Yi Tay, Yaguang Li, Chenkai Kuang, Yuan Liu, Hanzhao Lin, Evan Zheran Liu, Nigamaa Nayakanti, Xiaomeng Yang, Heng-Tze Cheng, Demis Hassabis, Koray Kavukcuoglu, Quoc V. Le, Thang Luong
2025	J	`jnl`	Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2. CoRR Yuri Chervonyi, Trieu H. Trinh, Miroslav Olsák, Xiaomeng Yang, Hoang Nguyen, Marcelo Menegali, Junehyuk Jung, Vikas Verma, Quoc V. Le, Thang Luong
2025	J	`jnl`	Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2. J. Mach. Learn. Res. Yuri Chervonyi, Trieu H. Trinh, Miroslav Olsák, Xiaomeng Yang, Hoang H. Nguyen, Marcelo Menegali, Junehyuk Jung, Junsu Kim, Vikas Verma, Quoc V. Le, Thang Luong
2025	J	`jnl`	Preferential Multi-Objective Bayesian Optimization for Drug Discovery. CoRR Tai Dang, Long-Hung Pham, Sang T. Truong, Ari Glenn, Wendy Nguyen, Edward A. Pham, Jeffrey S. Glenn, Sanmi Koyejo, Thang Luong
2025	A*	`conf`	Towards Robust Mathematical Reasoning. EMNLP Thang Luong, Dawsen Hwang, Hoang H. Nguyen, Golnaz Ghiasi, Yuri Chervonyi, Insuk Seo, Junsu Kim, Garrett Bingham, Jonathan Lee, Swaroop Mishra, Alex Zhai, Clara Huiyi Hu, Henryk Michalewski, Jimin Kim, Jeonghyun Ahn, Junhwi Bae, Xingyou Song, Trieu H. Trinh, Quoc V. Le, Junehyuk Jung
2025	J	`jnl`	Towards Robust Mathematical Reasoning. CoRR Thang Luong, Dawsen Hwang, Hoang H. Nguyen, Golnaz Ghiasi, Yuri Chervonyi, Insuk Seo, Junsu Kim, Garrett Bingham, Jonathan Lee, Swaroop Mishra, Alex Zhai, Clara Huiyi Hu, Henryk Michalewski, Jimin Kim, Jeonghyun Ahn, Junhwi Bae, Xingyou Song, Trieu H. Trinh, Quoc V. Le, Junehyuk Jung
2024	—	`conf`	FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. ACL (Findings) 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
2024	—	`conf`	HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning. ECCV (77) Zhecan Wang, Garrett Bingham, Adams Wei Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi
2024	J	`jnl`	HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning. CoRR Zhecan Wang, Garrett Bingham, Adams Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi
2024	J	`jnl`	Novel Hardware Implementation of Deduplicating Visually Identical JPEG Image Chunks. IEEE Access Thang Luong, Luan Dinh, Hung Nguyen, Linh H. Tran
2024	J	`jnl`	Solving olympiad geometry without human demonstrations. Nat. Trieu H. Trinh, Yuhuai Wu, Quoc V. Le, He He, Thang Luong
2023	J	`jnl`	FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. CoRR 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
2023	A*	`conf`	Symbolic Discovery of Optimization Algorithms. NeurIPS Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le
2023	J	`jnl`	Symbolic Discovery of Optimization Algorithms. CoRR 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
2022	J	`jnl`	Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. CoRR 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
2022	J	`jnl`	Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. Trans. Mach. Learn. Res. 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
2021	A*	`conf`	Towards Domain-Agnostic Contrastive Learning. ICML Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le
2020	A*	`conf`	Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. NeurIPS Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
2020	J	`jnl`	Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. CoRR Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
2020	A*	`conf`	Unsupervised Data Augmentation for Consistency Training. NeurIPS Qizhe Xie, Zihang Dai, Eduard H. Hovy, Thang Luong, Quoc Le
2019	A*	`conf`	Mixtape: Breaking the Softmax Bottleneck Efficiently. NeurIPS Zhilin Yang, Thang Luong, Ruslan Salakhutdinov, Quoc V. Le
2019	—	`ed.`	Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, Hong Kong, November 4, 2019 NGT@EMNLP-IJCNLP Alexandra Birch, Andrew M. Finch, Hiroaki Hayashi, Ioannis Konstas, Thang Luong, Graham Neubig, Yusuke Oda, Katsuhito Sudoh
2018	A*	`conf`	Learning Longer-term Dependencies in RNNs with Auxiliary Losses. ICML Trieu H. Trinh, Andrew M. Dai, Thang Luong, Quoc V. Le
2018	J	`jnl`	Learning Longer-term Dependencies in RNNs with Auxiliary Losses. CoRR Trieu H. Trinh, Andrew M. Dai, Thang Luong, Quoc V. Le
2017	—	`ed.`	Proceedings of the First Workshop on Neural Machine Translation, NMT@ACL 2017, Vancouver, Canada, August 4, 2017 NMT@ACL Thang Luong, Alexandra Birch, Graham Neubig, Andrew M. Finch
2015	—	`conf`	Addressing the Rare Word Problem in Neural Machine Translation. ACL (1) Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba
2015	—	`conf`	Bilingual Word Representations with Monolingual Quality in Mind. VS@HLT-NAACL Thang Luong, Hieu Pham, Christopher D. Manning
2015	B	`conf`	Deep Neural Language Models for Machine Translation. CoNLL Thang Luong, Michael Kayser, Christopher D. Manning
2015	A*	`conf`	Effective Approaches to Attention-based Neural Machine Translation. EMNLP Thang Luong, Hieu Pham, Christopher D. Manning
2015	—	`conf`	Learning Distributed Representations for Multilingual Text Sequences. VS@HLT-NAACL Hieu Pham, Thang Luong, Christopher D. Manning
2015	A*	`conf`	When Are Tree Structures Necessary for Deep Learning of Representations? EMNLP Jiwei Li, Thang Luong, Dan Jurafsky, Eduard H. Hovy
2014	J	`jnl`	Addressing the Rare Word Problem in Neural Machine Translation. CoRR Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba
2013	B	`conf`	Better Word Representations with Recursive Neural Networks for Morphology. CoNLL Thang Luong, Richard Socher, Christopher D. Manning