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Tengyu Ma

Active 2011–2026

153
Papers
30,581
Citations
65
h-index
119
i10-index

Citations

Citations per year for Tengyu Ma1989: 1 citations2012: 2 citations2013: 2 citations2014: 12 citations2015: 50 citations2016: 114 citations2017: 205 citations2018: 417 citations2019: 586 citations2020: 680 citations2021: 874 citations2022: 1,007 citations2023: 2,100 citations2024: 2,839 citations2025: 4,289 citations2026: 2,253 citations1990–2011: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,012 citing papers, 29.4% of this breakdownChina: 1,991 citing papers, 19.5% of this breakdownUnited Kingdom: 688 citing papers, 6.7% of this breakdownGermany: 475 citing papers, 4.6% of this breakdownCanada: 387 citing papers, 3.8% of this breakdownHong Kong: 280 citing papers, 2.7% of this breakdownAustralia: 249 citing papers, 2.4% of this breakdownFrance: 246 citing papers, 2.4% of this breakdownSingapore: 243 citing papers, 2.4% of this breakdownJapan: 230 citing papers, 2.2% of this breakdownSwitzerland: 200 citing papers, 2% of this breakdownSouth Korea: 181 citing papers, 1.8% of this breakdown
0%29.4%Other 20.1%

Institutions

Fields

  • Computer Science68.8%
  • Engineering10.5%
  • Social Sciences3.9%
  • Medicine3.7%
  • Decision Sciences2.2%
  • Biochemistry, Genetics and Molecular Biology1.7%
  • Other9.2%

Topics

  • Topic Modeling7.2%
  • Natural Language Processing Techniques4.5%
  • Multimodal Machine Learning Applications4.5%
  • Domain Adaptation and Few-Shot Learning3.9%
  • Advanced Neural Network Applications3.3%
  • Generative Adversarial Networks and Image Synthesis2.7%
  • Other73.9%

Coauthors

All papers

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  1. On the Opportunities and Risks of Foundation Models

    Authors: Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Demszky, Dora, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tong Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Ahmad Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Benjamin T. Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon-Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Yang Wang and 14 more - arXiv (Cornell University), CoRR 2021 cited by 4,828

  2. SAM 2: Segment Anything in Images and Videos

    Authors: Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloé Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollár, Christoph Feichtenhofer - ICLR 2025 cited by 3,804

  3. SAM 3: Segment Anything with Concepts

    Authors: Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris, Chaitanya K. Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew C. Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, M. David Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Kang Xu, Tsung‐Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Li Feng, Siyuan Li, Aishwarya Kamath, Hao Cheng, Piotr Dollár, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer - arXiv (Cornell University), CoRR 2025 cited by 396

  4. An Explanation of In-context Learning as Implicit Bayesian Inference

    Authors: Sang Michael Xie, Aditi Raghunathan, Percy Liang, Tengyu Ma - ICLR 2022 cited by 1,108

  5. Larger language models do in-context learning differently

    Authors: Jerry W. Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma - arXiv (Cornell University), CoRR 2023 cited by 360

  6. What learning algorithm is in-context learning? Investigations with linear models

    Authors: Ekin Akyürek, Dale Schuurmans, Jacob Andreas, Tengyu Ma, Denny Zhou - ICLR 2023 cited by 756

  7. Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

    Authors: Ananya Kumar, Aditi Raghunathan, Robbie Matthew Jones, Tengyu Ma, Percy Liang - ICLR 2022 cited by 972

  8. Perception Encoder: The best visual embeddings are not at the output of the network

    Authors: Daniel Bolya, Po-Yao Huang, Peize Sun, Jang Hyun Cho, Andrea Madotto, Chen Wei, Tengyu Ma, Jiale Zhi, Jathushan Rajasegaran, Hanoona Rasheed, Junke Wang, Marco Aurélio Alvarenga Monteiro, Xu Hu, Shiyu Dong, Nikhila Ravi, Daniel Li, Piotr Dollár, Christoph Feichtenhofer - NeurIPS 2025 cited by 178

  9. Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

    Authors: Hong Liu, Zhiyuan Li, David Leo Wright Hall, Percy Liang, Tengyu Ma - ICLR 2024 cited by 299

  10. Large Language Models as Tool Makers

    Authors: Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou - ICLR 2024 cited by 320

  11. Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

    Authors: Zhiyuan Li, Hong Liu, Denny Zhou, Tengyu Ma - ICLR 2024 cited by 300

  12. Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

    Authors: Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang - AAAI Conference on Artificial Intelligence 2021 cited by 304

  13. One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention

    Authors: Arvind V. Mahankali, Tatsunori Hashimoto, Tengyu Ma - ICLR 2024 cited by 184

  14. Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

    Authors: Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Aréchiga, Tengyu Ma - NeurIPS 2019 cited by 2,157

  15. PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

    Authors: Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi, Triantafyllos Afouras, Tushar Nagarajan, Muhammad Maaz, Yale Song, Tengyu Ma, Shuming Hu, Suyog Dutt Jain, Miguel Martin, Huiyu Wang, Hanoona Abdul Rasheed, Peize Sun, Po-Yao Huang, Daniel Bolya, Nikhila Ravi, Shashank Jain, Tammy Stark, Seungwhan Moon, Babak Damavandi, Vivian Lee, Andrew Westbury, Salman H. Khan, Philipp Krähenbühl, Piotr Dollár, Lorenzo Torresani, Kristen Grauman, Christoph Feichtenhofer - NeurIPS 2025 cited by 67

  16. Fantastic Pretraining Optimizers and Where to Find Them

    Authors: Kaiyue Wen, David Hall, Tengyu Ma, Percy Liang - ArXiv.org, CoRR 2025 cited by 65

  17. MOPO: Model-based Offline Policy Optimization

    Authors: Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Y. Zou, Sergey Levine, Chelsea Finn, Tengyu Ma - NeurIPS 2020 cited by 951

  18. Data Selection for Language Models via Importance Resampling

    Authors: Sang Michael Xie, Shibani Santurkar, Tengyu Ma, Percy Liang - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 357

  19. DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

    Authors: Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 393

  20. STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving

    Authors: Kefan Dong, Tengyu Ma - ICML 2025 cited by 76

  21. Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

    Authors: Kaiyue Wen, Zhiyuan Li, Jason S. Wang, David Hall, Percy Liang, Tengyu Ma - arXiv (Cornell University), CoRR 2024 cited by 46

  22. Self-supervised Learning is More Robust to Dataset Imbalance

    Authors: Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma - ICLR 2022 cited by 196

  23. Symbol tuning improves in-context learning in language models

    Authors: Jerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le - Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 cited by 46

  24. Fixup Initialization: Residual Learning Without Normalization

    Authors: Hongyi Zhang, Yann N. Dauphin, Tengyu Ma - ICLR (Poster) 2019 cited by 406