SK
Saurav Kadavath
cs.CLcs.LGcs.AIcs.CVstat.MLcs.CYcs.SE
On Valency
published · living versionsW_63ueycek·v1 · currentpublished
Discovering Language Model Behaviors with Model-Written Evaluations
with Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, Karina Nguyen +58
1 version
Preprints & journals
14 papers in the corpus · 2019–2023Specific versus General Principles for Constitutional AI2310.13798v1 · Sandipan Kundu, Yuntao Bai, Saurav Kadavath et al.2023 · 7 citationsarXiv
Measuring Faithfulness in Chain-of-Thought Reasoning2307.13702v1 · Tamera Lanham, Anna Chen, Ansh Radhakrishnan et al.2023 · 32 citationsarXiv
The Capacity for Moral Self-Correction in Large Language Models2302.07459v2 · Deep Ganguli, Amanda Askell, Nicholas Schiefer et al.2023 · 53 citationsarXiv
Discovering Language Model Behaviors with Model-Written Evaluations2212.09251v1 · Ethan Perez, Sam Ringer, Kamil\.e Lukosi\=ut\.e et al.2022 · 224 citationsarXivon Valency
Constitutional AI: Harmlessness from AI Feedback2212.08073v1 · Yuntao Bai, Saurav Kadavath, Sandipan Kundu et al.2022 · 322 citationsarXivon Valency
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned2209.07858v2 · Deep Ganguli, Liane Lovitt, Jackson Kernion et al.2022 · 119 citationsarXivon Valency
Language Models (Mostly) Know What They Know2207.05221v4 · Saurav Kadavath, Tom Conerly, Amanda Askell et al.2022 · 169 citationsarXivon Valency
DeepChrome 2.0: Investigating and Improving Architectures, Visualizations, & Experiments2209.11923v1 · Saurav Kadavath, Samuel Paradis, Jacob Yeung2022 · 0 citationsarXiv
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback2204.05862v1 · Yuntao Bai, Andy Jones, Kamal Ndousse et al.2022 · 389 citationsarXiv
Measuring Mathematical Problem Solving With the MATH Dataset2103.03874v2 · Dan Hendrycks, Collin Burns, Saurav Kadavath et al.2021 · 276 citationsarXiv
Measuring Coding Challenge Competence With APPS2105.09938v3 · Dan Hendrycks, Steven Basart, Saurav Kadavath et al.2021 · 148 citationsarXiv
Pretraining & Reinforcement Learning: Sharpening the Axe Before Cutting the Tree2110.02497v1 · Saurav Kadavath, Samuel Paradis, Brian Yao2021 · 0 citationsarXiv
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization2006.16241v3 · Dan Hendrycks, Steven Basart, Norman Mu et al.2020 · 1,179 citationsarXiv
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty1906.12340v2 · Dan Hendrycks, Mantas Mazeika, Saurav Kadavath et al.2019 · 560 citationsarXiv
Career total: 18 works. 14 are in this corpus.
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