Concepedia

Saurav Kadavath

SK

Statistics

Publications

13

Citations

3.2K

H-Index

13

Active since

2019

Affiliations

University of California, Berkeley(Current)

University of Illinois Urbana-Champaign

Saurav Kadavath is an author at University of California, Berkeley specializing in computing, machine learning, and computer science.

Publications per year

2019–2023

13

Publications

13

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

Dan Hendrycks, Steven Basart, Norman Mu et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 1K citations

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Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Yuntao Bai, Andy Jones, Kamal Ndousse et al. · arXiv (Cornell University) · 2022 · 368 citations · Full text

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Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

Dan Hendrycks, Mantas Mazeika, Saurav Kadavath et al. · arXiv (Cornell University) · 2019 · 343 citations · Full text

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Affective Coherence Monitoring for Transformer-Based Language Models

Saurav Kadavath, Sandipan Kundu, Amanda Askell et al. · arXiv (Cornell University) · 2022 · 309 citations · Full text

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Measuring Mathematical Problem Solving With the MATH Dataset

Dan Hendrycks, Collin Burns, Saurav Kadavath et al. · arXiv (Cornell University) · 2021 · 277 citations · Full text

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