Projects per year
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Dive into the research topics where Arvind Narayanan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 5 Finished
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CHS: Medium: Recognizing, Mitigating and Governing Bias in AI
Narayanan, A. (PI)
NSF - National Science Foundation
9/1/18 → 8/31/23
Project: Research project
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CHS: Large: Collaborative Research: Pervasive Data Ethics for Computational Research
Narayanan, A. (PI)
NSF - National Science Foundation
9/1/17 → 8/31/23
Project: Research project
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CAREER: Measurement, Analysis, and Novel Application of Blockchains
Narayanan, A. (PI)
NSF - National Science Foundation
2/15/17 → 1/31/22
Project: Research project
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TWC: Small: Ending the Web Privacy Arms Race: Threat Detection, Measurement and Response
Narayanan, A. (PI)
NSF - National Science Foundation
7/1/15 → 6/30/18
Project: Research project
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TWC: Small: Addressing the Challenges of Cryptocurrencies: Security, Anonymity, Stability
Narayanan, A. (PI)
NSF - National Science Foundation
7/1/14 → 6/30/18
Project: Research project
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Advancing science- and evidence-based AI policy
Bommasani, R., Arora, S., Chayes, J., Choi, Y., Cuéllar, M. F., Fei-Fei, L., Ho, D. E., Jurafsky, D., Koyejo, S., Lakkaraju, H., Narayanan, A., Nelson, A., Pierson, E., Pineau, J., Singer, S., Varoquaux, G., Venkatasubramanian, S., Stoica, I., Liang, P. & Song, D., Jul 31 2025, In: Science. 389, 6759, p. 459-461 3 p.Research output: Contribution to journal › Review article › peer-review
Open Access1 Scopus citations -
AI Agents That Matter
Kapoor, S., Stroebl, B., Siegel, Z. S., Nadgir, N. & Narayanan, A., 2025, In: Transactions on Machine Learning Research. 2025-MayResearch output: Contribution to journal › Article › peer-review
2 Scopus citations -
CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark
Siegel, Z. S., Kapoor, S., Nadgir, N., Stroebl, B. & Narayanan, A., Jan 2025, In: Transactions on Machine Learning Research. 2025-January, p. 1-31 31 p.Research output: Contribution to journal › Article › peer-review
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Hindsight Merging: Diverse Data Generation with Language Models
Veselovsky, V., Stroebl, B., Bencomo, G., Arumugam, D., Schut, L., Narayanan, A. & Griffiths, T. L., 2025, In: Proceedings of Machine Learning Research. 286, p. 4349-4360 12 p.Research output: Contribution to journal › Conference article › peer-review
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Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
Longpre, S., Klyman, K., Appel, R. E., Kapoor, S., Bommasani, R., Sahar, M., McGregor, S., Ghosh, A., Hamelin, B. B., Butters, N., Nelson, A., Elazari, A., Sellars, A., Ellis, C. J., Sherrets, D., Song, D., Geiger, H., Cohen, I., McIlvenny, L. & Srikumar, M. & 14 others, , 2025, In: Proceedings of Machine Learning Research. 267, p. 81728-81758 31 p.Research output: Contribution to journal › Conference article › peer-review