Rishi Bommasani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
5
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AIES | Disclosure and Evaluation as Fairness Interventions for General-Purpose AI. | Vyoma Raman, Judy Hanwen Shen, Andy K. Zhang, Lindsey A. Gailmard, Rishi Bommasani, Daniel E. Ho, Angelina Wang |
| 2025 | AIES | Do AI Companies Make Good on Voluntary Commitments to the White House? | Jennifer Wang, Kayla Huang, Kevin Klyman, Rishi Bommasani |
| 2025 | ICML | Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI. | Shayne Longpre, Kevin Klyman, Ruth Elisabeth Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan |
| 2025 | ICML | Position: Language model developers should report train-test overlap. | Andy K. Zhang, Kevin Klyman, Yifan Mai, Yoav Levine, Yian Zhang, Rishi Bommasani, Percy Liang |
| 2024 | AIES | Foundation Model Transparency Reports. | Rishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash Kapoor, Nestor Maslej, Arvind Narayanan, Percy Liang |
| 2024 | AIES | Trustworthy Social Bias Measurement. | Rishi Bommasani, Percy Liang |
| 2024 | AIES | Ecosystem Graphs: Documenting the Foundation Model Supply Chain. | Rishi Bommasani, Dilara Soylu, Thomas I. Liao, Kathleen A. Creel, Percy Liang |
| 2024 | ICML | Position: On the Societal Impact of Open Foundation Models. | 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 |
| 2024 | ICML | Position: A Safe Harbor for AI Evaluation and Red Teaming. | Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson |
| 2023 | ACL | Evaluation for Change. | Rishi Bommasani |
| 2023 | CHI | Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward. | Anja Thieme, Aditya V. Nori, Marzyeh Ghassemi, Rishi Bommasani, Tariq Osman Andersen, Ewa Luger |
| 2020 | ACL | Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings. | Rishi Bommasani, Kelly Davis, Claire Cardie |
| 2020 | EMNLP | Intrinsic Evaluation of Summarization Datasets. | Rishi Bommasani, Claire Cardie |
| 2019 | ACL | Long-Distance Dependencies Don't Have to Be Long: Simplifying through Provably (Approximately) Optimal Permutations. | Rishi Bommasani |