Peter Henderson

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Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaAdresse e-mail validée de cs.mcgill.ca
Riashat IslamResearch ScientistAdresse e-mail validée de mail.mcgill.ca
David MegerAssociate Professor at McGill UniversityAdresse e-mail validée de cim.mcgill.ca
Emma BrunskillAssociate Professor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Daniel E. HoStanford UniversityAdresse e-mail validée de law.stanford.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Vincent François-LavetVU AmsterdamAdresse e-mail validée de vu.nl
Doina PrecupDeepMind and McGill UniversityAdresse e-mail validée de cs.mcgill.ca
Joshua RomoffUbisoft La ForgeAdresse e-mail validée de ubisoft.com
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityAdresse e-mail validée de stanford.edu
Xiangyu QIPrinceton UniversityAdresse e-mail validée de princeton.edu
Prateek MittalProfessor, Princeton UniversityAdresse e-mail validée de princeton.edu
Ryan LoweOpenAIAdresse e-mail validée de openai.com
Jieru HuDeepMindAdresse e-mail validée de deepmind.com
Brandon AndersonStanford UniversityAdresse e-mail validée de stanford.edu
Koustuv SinhaResearch Scientist, Meta AI (Fundamental AI Research), McGill UniversityAdresse e-mail validée de mail.mcgill.ca
Lucia ZhengStanford UniversityAdresse e-mail validée de stanford.edu
Mark LemleyProfessor of Law, Stanford UniversityAdresse e-mail validée de law.stanford.edu
Erik BrynjolfssonProfessor at Stanford; NBER; Stanford Digital Economy LabAdresse e-mail validée de stanford.edu
Arvind NarayananProfessor, Princeton UniversityAdresse e-mail validée de cs.princeton.edu

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Peter Henderson

Princeton University

Adresse e-mail validée de princeton.edu - Page d'accueil

Law Machine Learning Natural Language Processing


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021	3969	2021
Deep Reinforcement Learning that Matters P Henderson, R Islam, P Bachman, J Pineau, D Precup, D Meger AAAI Conference on Artificial Intelligence (AAAI), 2018	2456	2018
An Introduction to Deep Reinforcement Learning V François-Lavet, P Henderson, R Islam, MG Bellemare, J Pineau Foundations and Trends® in Machine Learning 11 (3-4), 219-354, 2018	1826	2018
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022	1505	2022
Holistic Evaluation of Language Models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... arXiv preprint arXiv:2211.09110, 2022	954	2022
Towards the systematic reporting of the energy and carbon footprints of machine learning P Henderson, J Hu, J Romoff, E Brunskill, D Jurafsky, J Pineau Journal of Machine Learning Research 21 (248), 1-43, 2020	516	2020
A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version IV Serban, R Lowe, P Henderson, L Charlin, J Pineau Dialogue & Discourse 9 (1), 1-49, 2018	461*	2018
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ... arXiv preprint arXiv:2004.07213, 2020	416	2020
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control R Islam, P Henderson, M Gomrokchi, D Precup Reproducibility in Machine Learning Workshop (ICML), 2017	331	2017
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! X Qi, Y Zeng, T Xie, PY Chen, R Jia, P Mittal, P Henderson arXiv preprint arXiv:2310.03693, 2023	227	2023
Ethical Challenges in Data-Driven Dialogue Systems P Henderson, K Sinha, N Angelard-Gontier, NR Ke, G Fried, R Lowe, ... AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2018	188	2018
When does pretraining help? assessing self-supervised learning for law and the CaseHOLD dataset of 53,000+ legal holdings L Zheng, N Guha, BR Anderson, P Henderson, DE Ho Proceedings of the Eighteenth International Conference on Artificial …, 2021	183	2021
Visual adversarial examples jailbreak aligned large language models X Qi, K Huang, A Panda, P Henderson, M Wang, P Mittal Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21527 …, 2024	120*	2024
With Little Power Comes Great Responsibility D Card, P Henderson, U Khandelwal, R Jia, K Mahowald, D Jurafsky arXiv preprint arXiv:2010.06595, 2020	112	2020
Foundation models and fair use P Henderson, X Li, D Jurafsky, T Hashimoto, MA Lemley, P Liang Journal of Machine Learning Research 24 (400), 1-79, 2023	104	2023
Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models N Guha, J Nyarko, D Ho, C Ré, A Chilton, A Chohlas-Wood, A Peters, ... Advances in Neural Information Processing Systems 36, 2024	83*	2024
Underwater Multi-Robot Convoying using Visual Tracking by Detection F Shkurti, WD Chang, P Henderson, MJ Islam, JCG Higuera, J Li, ... IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017	70	2017
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset P Henderson, MS Krass, L Zheng, N Guha, CD Manning, D Jurafsky, ... arXiv preprint arXiv:2207.00220, 2022	68	2022
Data Governance in the Age of Large-Scale Data-Driven Language Technology Y Jerncite, H Nguyen, S Biderman, A Rogers, V Danchev, S Tan, ...	61	2022
Benchmark Environments for Multitask Learning in Continuous Domains P Henderson, WD Chang, F Shkurti, J Hansen, D Meger, G Dudek Lifelong Learning: A Reinforcement Learning Approach Workshop (ICML), 2017	61	2017

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