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Daniel E. Ho

2005–2026 年に発表

91
論文数
18,270
被引用数
26
h 指数
46
i10 指数

被引用数

Daniel E. Ho の年別被引用数1977 年: 被引用 1 件2002 年: 被引用 1 件2004 年: 被引用 2 件2005 年: 被引用 6 件2006 年: 被引用 2 件2007 年: 被引用 6 件2008 年: 被引用 20 件2009 年: 被引用 24 件2010 年: 被引用 28 件2011 年: 被引用 35 件2012 年: 被引用 33 件2013 年: 被引用 44 件2014 年: 被引用 44 件2015 年: 被引用 37 件2016 年: 被引用 49 件2017 年: 被引用 64 件2018 年: 被引用 50 件2019 年: 被引用 244 件2020 年: 被引用 302 件2021 年: 被引用 446 件2022 年: 被引用 761 件2023 年: 被引用 1,405 件2024 年: 被引用 2,127 件2025 年: 被引用 2,218 件2026 年: 被引用 843 件1978〜2001 年は被引用が無いため表示していません2003 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 2,555 件、この内訳の 29%中国: 引用元論文 794 件、この内訳の 9%イギリス: 引用元論文 735 件、この内訳の 8.3%ドイツ: 引用元論文 526 件、この内訳の 6%カナダ: 引用元論文 414 件、この内訳の 4.7%イタリア: 引用元論文 283 件、この内訳の 3.2%オーストラリア: 引用元論文 251 件、この内訳の 2.9%オランダ: 引用元論文 232 件、この内訳の 2.6%フランス: 引用元論文 229 件、この内訳の 2.6%スイス: 引用元論文 207 件、この内訳の 2.4%スペイン: 引用元論文 171 件、この内訳の 1.9%日本: 引用元論文 154 件、この内訳の 1.8%
0%29%その他 25.6%

機関

分野

  • Computer Science44.9%
  • Medicine18.2%
  • Social Sciences10.7%
  • Engineering5.1%
  • Biochemistry, Genetics and Molecular Biology3.6%
  • Decision Sciences2.4%
  • その他15.1%

トピック

  • Topic Modeling5.9%
  • Artificial Intelligence in Healthcare and Education3.2%
  • Natural Language Processing Techniques3.2%
  • Ethics and Social Impacts of AI2.8%
  • Multimodal Machine Learning Applications2.4%
  • Explainable Artificial Intelligence (XAI)2.3%
  • その他80.2%

共著者

全論文

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  1. On the Opportunities and Risks of Foundation Models

    著者: 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 ほか 14 名 - arXiv (Cornell University), CoRR 2021 被引用: 4,828

  2. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

    著者: Daniel E. Ho, Kosuke Imai, Gary King, Elizabeth A. Stuart - Journal of Statistical Software 2011 被引用: 4,366

  3. Advances, challenges and opportunities in creating data for trustworthy AI

    著者: Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou - Nature Machine Intelligence, Nat. Mach. Intell. 2022 被引用: 517

  4. LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

    著者: Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li - NeurIPS 2023 被引用: 468

  5. Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

    著者: Andy K. Zhang, Neil Perry, Riya Dulepet, Eliot Jones, Justin W. Lin, Joey Ji, Celeste Menders, Gashon Hussein, Samantha Liu, Donovan Jasper, Pura Peetathawatchai, Ari Glenn, Vikram Sivashankar, Daniel Zamoshchin, Leo Glikbarg, Derek Askaryar, Mike Yang, Teddy Zhang, Rishi Alluri, Nathan Tran, Rinnara Sangpisit, Polycarpos Yiorkadjis, Kenny Osele, Gautham Raghupathi, Dan Boneh, Daniel E. Ho, Percy Liang - ICLR 2025 被引用: 143

  6. Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference

    著者: Daniel E. Ho, Kosuke Imai, Gary King, Elizabeth A. Stuart - Political Analysis 2007 被引用: 4,349

  7. How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

    著者: Eric Q. Wu, Kevin Wu, Roxana Daneshjou, David Ouyang, Daniel E. Ho, James Zou - Nature Medicine 2021 被引用: 462

  8. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools

    著者: Varun Magesh, Faiz Surani, Matthew Dahl, Mirac Suzgun, Christopher D. Manning, Daniel E. Ho - arXiv (Cornell University), CoRR 2024 被引用: 83

  9. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

    著者: Daniel E. Ho, Kosuke Imai, Gary King, Elizabeth A. Stuart, Noah Greifer - CRAN: Contributed Packages 2005 被引用: 1,230

  10. When does pretraining help?: assessing self-supervised learning for law and the CaseHOLD dataset of 53, 000+ legal holdings

    著者: Lucia Zheng, Neel Guha, Brandon Anderson, Peter Henderson, Daniel E. Ho - Eighteenth International Conference on Artificial Intelligence and Law, ICAIL 2021 被引用: 127

  11. How well do LLMs cite relevant medical references? An evaluation framework and analyses

    著者: Kevin Wu, Eric Wu, Ally Cassasola, Angela Zhang, Kevin Wei, Teresa Nguyen, Sith Riantawan, Patricia Shi Riantawan, Daniel E. Ho, James Zou - arXiv (Cornell University), CoRR 2024 被引用: 57

  12. On the Societal Impact of Open Foundation Models

    著者: Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan - arXiv (Cornell University), CoRR 2024 被引用: 59

  13. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice

    著者: A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Kevin Klyman, Matthew Jagielski, Katja Filippova, Ken Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Niloofar Mireshghallah, Abigail Z. Jacobs, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Ilia Shumailov, Andreas Terzis, Solon Barocas, Jennifer Wortman Vaughan, danah boyd, Yejin Choi, Sanmi Koyejo, Fernando A. Delgado, Percy Liang, Daniel E. Ho, Pamela Samuelson, Miles Brundage, David Bau, Seth Neel, Hanna M. Wallach, Amy Cyphert, Mark A. Lemley, Nicolas Papernot, Katherine Lee - NeurIPS 2025 被引用: 47

  14. Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models

    著者: Matthew Dahl, Varun Magesh, Mirac Suzgun, Daniel E. Ho - The Journal of Legal Analysis 2024 被引用: 192

  15. Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

    著者: Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho - Advances in Neural Information Processing Systems 35, NeurIPS 2022 被引用: 156

  16. Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance

    著者: Inioluwa Deborah Raji, Peggy Xu, Colleen Honigsberg, Daniel E. Ho - AAAI/ACM Conference on AI, AIES 2022 被引用: 97

  17. Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies

    著者: David Freeman Engstrom, Daniel E. Ho, Catherine M. Sharkey, Mariano-Florentino Cuéllar - 2020 被引用: 249

  18. Extracting memorized pieces of (copyrighted) books from open-weight language models

    著者: A. Feder Cooper, Aaron Gokaslan, Ahmed Ahmed, Amy Cyphert, Christopher De, Mark A. Lemley, Daniel E. Ho, Percy Liang, Percy Liang - ArXiv.org, CoRR 2025 被引用: 27

  19. A Reasoning-Focused Legal Retrieval Benchmark

    著者: Lucia Zheng, Neel Guha, Javokhir Arifov, Sarah Zhang, Michal Skreta, Christopher D. Manning, Peter Henderson, Daniel E. Ho - Symposium on Computer Science and Law on ZZZ, CSLAW 2025 被引用: 24

  20. BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems

    著者: Andy K. Zhang, Joey Ji, Celeste Menders, Riya Dulepet, Thomas Qin, Ron Yifeng Wang, Junrong Wu, Kyleen Liao, Jiliang Li, Jinghan Hu, Sara Hong, Nardos Demilew, Shivatmica Murgai, Jason Tran, Nishka Kacheria, Ethan Ho, Denis Liu, Lauren McLane, Olivia Bruvik, Dai-Rong Han, Seungwoo Kim, Akhil Vyas, Cuiyuanxiu Chen, Ryan Li, Weiran Xu, Jonathan Z. Ye, Prerit Choudhary, Siddharth M. Bhatia, Vikram Sivashankar, Yuxuan Bao, Dawn Song, Dan Boneh, Daniel E. Ho, Percy Liang - NeurIPS 2025 被引用: 35

  21. Implications of predicting race variables from medical images

    著者: James Zou, Judy Wawira Gichoya, Daniel E. Ho, Ziad Obermeyer - Science 2023 被引用: 29

  22. Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools

    著者: Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari - Equity and Access in Algorithms, EAAMO 2023 被引用: 17

  23. LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning

    著者: Neel Guha, Daniel E. Ho, Julian Nyarko, Christopher Ré - arXiv (Cornell University), CoRR 2022 被引用: 22

  24. When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset

    著者: Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, Daniel E. Ho - arXiv (Cornell University), CoRR 2021 被引用: 35