| 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 | 5229 | 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 | 2666 | 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 | 2008 | 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 | 1844 | 2022 |
| Holistic Evaluation of Language Models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... Transactions on Machine Learning Research, 2023 | 1305* | 2023 |
| 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 | 630 | 2020 |
| 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 | 495 | 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 | 475* | 2018 |
| 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 International Conference on Learning Representations (ICLR), 2024 | 455 | 2024 |
| 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 | 351 | 2017 |
| 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 | 304* | 2021 |
| 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 | 210 | 2018 |
| 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 | 208* | 2024 |
| 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, 44123-44279, 2023 | 179 | 2023 |
| 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 | 151 | 2023 |
| With Little Power Comes Great Responsibility D Card, P Henderson, U Khandelwal, R Jia, K Mahowald, D Jurafsky Empirical Methods in Natural Language Processing (EMNLP), 2020 | 125 | 2020 |
| 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, ... Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2022 | 96 | 2022 |
| On the Opportunities and Risks of Foundation Models. arXiv. 2022. 10.48550 R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv.2108.07258, 0 | 88* | |
| 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 | 78 | 2017 |
| Data Governance in the Age of Large-Scale Data-Driven Language Technology Y Jerncite, H Nguyen, S Biderman, A Rogers, V Danchev, S Tan, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 74 | 2022 |
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerifierad e-postadress på cs.mcgill.ca