🧑‍🔬 Peter Henderson — all works

36 works · ← Peter Henderson

1. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
2. Holistic Evaluation of Language Models ↗arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yetPercy Liang et al.2022 · 1,001 citations
3. Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!arXiv:2310.03693Xiangyu Qi, Yi Zeng, Tinghao Xie, et al.2023 · 355 citations
4. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims ↗arXiv:2004.07213 · no summary yetMiles Brundage et al.2020 · 320 citations
5. Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning ↗arXiv (Cornell University) · no summary yetPeter B. Henderson et al.2020 · 258 citations
6. Visual Adversarial Examples Jailbreak Aligned Large Language Models ↗arXiv:2306.13213 · no summary yetXiangyu Qi et al.2023 · 240 citations
7. With Little Power Comes Great Responsibility ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetDallas Card et al.2020 · 173 citations
8. Foundation Models and Fair Use ↗SSRN Electronic Journal · no summary yetPeter B. Henderson et al.2023 · 134 citations
9. When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset ↗arXiv:2104.08671 · no summary yetLucia Zheng et al.2021 · 134 citations
10. Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset ↗arXiv:2207.00220 · no summary yetPeter Henderson et al.2022 · 133 citations
11. Safety Alignment Should Be Made More Than Just a Few Tokens Deep ↗arXiv:2406.05946 · no summary yetXiangyu Qi et al.2024 · 97 citations
12. SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal ↗arXiv:2406.14598 · no summary yetTinghao Xie et al.2024 · 87 citations
13. Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications ↗arXiv:2402.05162 · no summary yetBoyi Wei et al.2024 · 66 citations
14. A Reasoning-Focused Legal Retrieval BenchmarkarXiv:2505.03970Lucia Zheng, Neel Guha, Javokhir Arifov, et al.2025 · 55 citations
15. Promises and pitfalls of artificial intelligence for legal applications ↗arXiv:2402.01656 · no summary yetSayash Kapoor, Peter Henderson, Arvind Narayanan2024 · 40 citations
16. Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models ↗Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yetPeter B. Henderson et al.2023 · 36 citations
17. On the Societal Impact of Open Foundation Models ↗arXiv (Cornell University) · no summary yetSayash Kapoor et al.2024 · 30 citations
18. Evaluating Copyright Takedown Methods for Language Models ↗neural information processing systems · no summary yetBoyi Wei et al.2024 · 25 citations
19. A Safe Harbor for AI Evaluation and Red Teaming ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2024 · 22 citations
20. LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain ↗Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yetJoel Niklaus et al.2025 · 12 citations
21. Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation ↗arXiv:2510.11977 · no summary yetSayash Kapoor et al.2025 · 11 citations
22. The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2024 · 11 citations
23. Fantastic Copyrighted Beasts and How (Not) to Generate Them ↗arXiv (Cornell University) · no summary yetLuxi He et al.2024 · 9 citations
24. Position: On the Societal Impact of Open Foundation Models ↗ANU Open Research (Australian National University) · no summary yetSayash Kapoor et al.2024 · 6 citations
25. Cheaply Evaluating Inference Efficiency Metrics for Autoregressive Transformer APIs ↗arXiv (Cornell University) · no summary yetDeepak Narayanan et al.2023 · 6 citations
26. Who Checks the Citations? Benchmarking Legal Hallucination Detection ↗arXiv:2606.21155 · no summary yetPatty Liu, Dominik Stammbach, Peter Henderson2026 · 3 citations
27. Statutory Construction and Interpretation for Artificial Intelligence ↗arXiv:2509.01186 · no summary yetLuxi He et al.2025 · 3 citations
28. AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County ↗arXiv:2503.03888 · no summary yetFaiz Surani et al.2025 · 3 citations
29. AI Risk Management Should Incorporate Both Safety and Security ↗arXiv (Cornell University) · no summary yetXiangyu Qi et al.2024 · 3 citations
30. Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models ↗neural information processing systems · no summary yetDeepak Narayanan et al.2023 · 3 citations
31. In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2025 · 2 citations
32. The Mirage of Artificial Intelligence Terms of Use Restrictions ↗arXiv:2412.07066 · no summary yetPeter Henderson, Mark A. Lemley2024 · 2 citations
33. Statutory construction and interpretation for AI ↗Proceedings of the National Academy of Sciences · no summary yetLuxi He et al.2026 · 1 citation
34. The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least Privilege ↗Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yetLuxi He et al.2025 · 1 citation
35. Legal Domain Adaptation of Modern BERT Models ↗arXiv:2606.28538 · no summary yetDominik Stammbach, Peter Henderson2026
36. A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection ↗neural information processing systems · no summary yetGaku Morio et al.2025

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