Követés
Sayash Kapoor
Sayash Kapoor
CS PhD, Princeton University
E-mail megerősítve itt: princeton.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Leakage and the reproducibility crisis in machine-learning-based science
S Kapoor, A Narayanan
Patterns 4 (9), 2023
570*2023
Controlling polarization in personalization: An algorithmic framework
LE Celis, S Kapoor, F Salehi, N Vishnoi
Proceedings of the conference on fairness, accountability, and transparency …, 2019
124*2019
The foundation model transparency index
R Bommasani, K Klyman, S Longpre, S Kapoor, N Maslej, B Xiong, ...
arXiv preprint arXiv:2310.12941, 2023
114*2023
Against predictive optimization: On the legitimacy of decision-making algorithms that optimize predictive accuracy
A Wang, S Kapoor, S Barocas, A Narayanan
ACM Journal on Responsible Computing 1 (1), 1-45, 2024
792024
Corruption-tolerant bandit learning
S Kapoor, KK Patel, P Kar
Machine Learning, 1-29, 2019
672019
Reforms: Consensus-based recommendations for machine-learning-based science
S Kapoor, EM Cantrell, K Peng, TH Pham, CA Bail, OE Gundersen, ...
Science Advances 10 (18), eadk3452, 2024
54*2024
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
J Hullman, S Kapoor, P Nanayakkara, A Gelman, A Narayanan
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 335-348, 2022
512022
On the Societal Impact of Open Foundation Models
S Kapoor, R Bommasani, K Klyman, S Longpre, A Ramaswami, P Cihon, ...
International Conference on Machine Learning, 23082-23104, 2024
49*2024
AI Agents That Matter
S Kapoor, B Stroebl, ZS Siegel, N Nadgir, A Narayanan
arXiv preprint arXiv:2407.01502, 2024
43*2024
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference
A Narayanan, S Kapoor
Princeton University Press, 2024
412024
A Safe Harbor for AI Evaluation and Red Teaming
S Longpre, S Kapoor, K Klyman, A Ramaswami, R Bommasani, ...
Forty-first International Conference on Machine Learning, 2024
382024
How large language models can reshape collective intelligence
JW Burton, E Lopez-Lopez, S Hechtlinger, Z Rahwan, S Aeschbach, ...
Nature human behaviour 8 (9), 1643-1655, 2024
222024
Promises and pitfalls of artificial intelligence for legal applications
S Kapoor, P Henderson, A Narayanan
Journal of Cross-disciplinary Research in Computational Law, 2024
222024
GPT-4 and professional benchmarks: the wrong answer to the wrong question
A Narayanan, S Kapoor
AI Snake Oil, 2023
202023
How to Prepare for the Deluge of Generative AI on Social Media
S Kapoor, A Narayanan
Knight First Amend. Inst. 23 (04), 2023
192023
Considerations for governing open foundation models
R Bommasani, S Kapoor, K Klyman, S Longpre, A Ramaswami, D Zhang, ...
Science 386 (6718), 151-153, 2024
182024
Foundation model transparency reports
R Bommasani, K Klyman, S Longpre, B Xiong, S Kapoor, N Maslej, ...
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 181-195, 2024
162024
The Foundation Model Transparency Index v1.1: May 2024
R Bommasani, K Klyman, S Kapoor, S Longpre, B Xiong, N Maslej, ...
arXiv preprint arXiv:2407.12929, 2024
16*2024
Is GPT-4 getting worse over time
A Narayanan, S Kapoor
AI Snake Oil, 2023
15*2023
ChatGPT is a bullshit generator. But it can still be amazingly useful
A Narayanan, S Kapoor
AI Snake Oil, 2022
14*2022
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Cikkek 1–20