Jacob Steinhardt
67 papers · 2011–2025 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Jacob Steinhardt?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Dawn Song, Dan Hendrycks, Ruiqi Zhong
19 papers
· 2019–2025
· ICLR, CVPR, ICML
Hide ▲
Language Models Learn to Mislead Humans via RLHF
ICLR 2025
VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models
ICLR 2025
Describing Differences in Image Sets with Natural Language
CVPR 2024
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
ICML 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
NeurIPS 2024
Discovering Latent Knowledge in Language Models Without Supervision
ICLR 2023
Goal Driven Discovery of Distributional Differences via Language Descriptions
NeurIPS 2023
Describing Differences between Text Distributions with Natural Language
ICML 2022
Forecasting Future World Events With Neural Networks
NeurIPS 2022
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios
NeurIPS 2022
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures
CVPR 2022
Scaling Out-of-Distribution Detection for Real-World Settings
ICML 2022
Aligning AI With Shared Human Values
ICLR 2021
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level
ACL 2021
Limitations of Post-Hoc Feature Alignment for Robustness
CVPR 2021
Measuring Massive Multitask Language Understanding
ICLR 2021
Natural Adversarial Examples
CVPR 2021
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
ICCV 2021
Sever: A Robust Meta-Algorithm for Stochastic Optimization
ICML 2019
9 papers whose co-authors appear nowhere else under this name
Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
ICLR 2025
What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning?
ICML 2025
Which Attention Heads Matter for In-Context Learning?
ICML 2025
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small
ICLR 2023
Progress measures for grokking via mechanistic interpretability
ICLR 2023
Identifying Statistical Bias in Dataset Replication
ICML 2020
Minimax rates for memory-bounded sparse linear regression
COLT 2015
Flexible Martingale Priors for Deep Hierarchies
AISTATS 2012
Finite-Time Regional Verification of Stochastic Nonlinear Systems
RSS 2011