Samuel R. Bowman

2010–2026 年に発表

126
論文数
30,721
被引用数
61
h 指数
104
i10 指数

被引用数

Samuel R. Bowman の年別被引用数1998 年: 被引用 1 件2007 年: 被引用 2 件2008 年: 被引用 1 件2011 年: 被引用 1 件2012 年: 被引用 4 件2013 年: 被引用 2 件2014 年: 被引用 17 件2015 年: 被引用 29 件2016 年: 被引用 96 件2017 年: 被引用 187 件2018 年: 被引用 496 件2019 年: 被引用 936 件2020 年: 被引用 1,634 件2021 年: 被引用 1,869 件2022 年: 被引用 1,769 件2023 年: 被引用 2,718 件2024 年: 被引用 3,417 件2025 年: 被引用 5,427 件2026 年: 被引用 3,622 件1999〜2006 年は被引用が無いため表示していません2009〜2010 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 3,588 件、この内訳の 30.2%中国: 引用元論文 1,791 件、この内訳の 15.1%イギリス: 引用元論文 910 件、この内訳の 7.7%ドイツ: 引用元論文 590 件、この内訳の 5%カナダ: 引用元論文 461 件、この内訳の 3.9%インド: 引用元論文 307 件、この内訳の 2.6%イスラエル: 引用元論文 280 件、この内訳の 2.4%フランス: 引用元論文 279 件、この内訳の 2.3%日本: 引用元論文 266 件、この内訳の 2.2%スイス: 引用元論文 247 件、この内訳の 2.1%韓国: 引用元論文 237 件、この内訳の 2%オランダ: 引用元論文 232 件、この内訳の 1.9%
0%30.2%その他 22.6%

分野

  • Computer Science79.8%
  • Social Sciences6.5%
  • Engineering2.3%
  • Medicine2.2%
  • Decision Sciences1.7%
  • Psychology1.7%
  • その他5.8%

トピック

  • Topic Modeling19.8%
  • Natural Language Processing Techniques13.6%
  • Multimodal Machine Learning Applications5.6%
  • Explainable Artificial Intelligence (XAI)3.9%
  • Adversarial Robustness in Machine Learning3%
  • Ethics and Social Impacts of AI2.2%
  • その他51.9%

共著者

全論文

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  1. Constitutional AI: Harmlessness from AI Feedback

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Nova DasSarma, Robert Lasenby, Robin J. Larson, Sam Ringer, Scott G. Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Tamera Lanham, Timothy Telleen-Lawton, Tom Conerly, Tom Henighan, Tristan Hume, Samuel R. Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Jared Kaplan - arXiv (Cornell University), CoRR 2022 被引用: 3,000

  2. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

    著者: , , , , , - International Conference on Learning Representations, BlackboxNLP@EMNLP 2018 被引用: 3,957

  3. GPQA: A Graduate-Level Google-Proof Q&A Benchmark

    著者: , , , , , , , - arXiv (Cornell University), CoRR 2023 被引用: 950

  4. Towards Understanding Sycophancy in Language Models

    著者: , , , , , , , , , , , , , , , , , , - ICLR 2024 被引用: 1,091

  5. Measuring Faithfulness in Chain-of-Thought Reasoning

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 被引用: 506

  6. A large annotated corpus for learning natural language inference

    著者: , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 被引用: 3,452

  7. Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Paul F. Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez - arXiv (Cornell University), CoRR 2024 被引用: 414

  8. Discovering Language Model Behaviors with Model-Written Evaluations

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger B. Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, Jared Kaplan - Findings of the Association for Computational Linguistics: ACL 2023, ACL (Findings) 2023 被引用: 423

  9. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

    著者: , , - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), NAACL-HLT 2018 被引用: 899

  10. Alignment faking in large language models

    著者: , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 被引用: 349

  11. BBQ: A Hand-Built Bias Benchmark for Question Answering

    著者: , , , , , , , - Findings of the Association for Computational Linguistics: ACL 2022, ACL (Findings) 2022 被引用: 393

  12. Reasoning Models Don't Always Say What They Think

    著者: , , , , , , , , , , , , , , - ArXiv.org, CoRR 2025 被引用: 270

  13. Studying Large Language Model Generalization with Influence Functions

    著者: , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2023 被引用: 255

  14. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting

    著者: , , , - Advances in Neural Information Processing Systems 36, NeurIPS 2023 被引用: 1,421

  15. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

    著者: , , , , , , , - Neural Information Processing Systems, NeurIPS 2019 被引用: 2,851

  16. Measuring Progress on Scalable Oversight for Large Language Models

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Nova DasSarma, Robin Larson, Sam McCandlish, Sandipan Kundu, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Ben Mann, Jared Kaplan - arXiv (Cornell University), CoRR 2022 被引用: 231

  17. LLM Evaluators Recognize and Favor Their Own Generations

    著者: , , - Advances in Neural Information Processing Systems 37, NeurIPS 2024 被引用: 593

  18. The Capacity for Moral Self-Correction in Large Language Models

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Saurav Kadavath, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Christopher Olah, Jack Clark, Samuel R. Bowman, Jared Kaplan - arXiv (Cornell University), CoRR 2023 被引用: 227

  19. XNLI: Evaluating Cross-lingual Sentence Representations

    著者: , , , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 被引用: 934

  20. CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models

    著者: , , , - Conference on Empirical Methods in Natural Language Processing (EMNLP), EMNLP (1) 2020 被引用: 214

  21. Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models

    著者: , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 被引用: 166

  22. Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Samir Rajani, Nikhil Saxena, Alex Silverstein, Tanya Singh, Theodore R. Sumers, Leonard Tang, Kevin K. Troy, Constantin Weisser, Ruiqi Zhong, Giulio Zhou, Jan Leike, Jared Kaplan, Ethan Perez - ArXiv.org, CoRR 2025 被引用: 144

  23. Debating with More Persuasive LLMs Leads to More Truthful Answers

    著者: , , , , , , , , , - ICML 2024 被引用: 285

  24. Neural Network Acceptability Judgments

    著者: , , - Transactions of the Association for Computational Linguistics, Trans. Assoc. Comput. Linguistics 2019 被引用: 297