Shah, Rohin

On the Utility of Learning about Humans for Human-AI Coordination

Carroll, M., Shah, R., Ho, M. K., Griffiths, T. L., Seshia, S. A., Abbeel, P., & Dragan, A. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 168

AtP*: An efficient and scalable method for localizing LLM behaviour to components

Kramár, J., Lieberum, T., Shah, R., & Nanda, N. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 120

On scalable oversight with weak LLMs judging strong LLMs

Kenton, Z., Siegel, N. Y., Kramár, J., Brown-Cohen, J., Albanie, S., Bulian, J., Agarwal, R., Lindner, D., Tang, Y., Goodman, N. D., et al. (2024) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 66

Optimal Policies Tend To Seek Power

Turner, A. M., Smith, L., Shah, R., Critch, A., & Tadepalli, P. (2019) · arXiv

Reinforcement Learning in RoboticsEthics and Social Impacts of AI

Cited by 18

Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals

Shah, R., Varma, V., Kumar, R., Phuong, M., Krakovna, V., Uesato, J., & Kenton, Z. (2022) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 16

Evaluating Frontier Models for Dangerous Capabilities

Phuong, M., Aitchison, M., Catt, E., Cogan, S., Kaskasoli, A., Krakovna, V., Lindner, D., Rahtz, M., Assael, Y., Hodkinson, S., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 11

Choice Set Misspecification in Reward Inference

Freedman, R., Shah, R., & Dragan, A. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 6

Improving Dictionary Learning with Gated Sparse Autoencoders

Rajamanoharan, S., Conmy, A., Smith, L., Lieberum, T., Varma, V., Kramár, J., Shah, R., & Nanda, N. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 3

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Lieberum, T., Rajamanoharan, S., Conmy, A., Smith, L., Sonnerat, N., Varma, V., Kramár, J., Dragan, A., Shah, R., & Nanda, N. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 2

Evaluating the Goal-Directedness of Large Language Models

Everitt, T., Garbacea, C., Bellot, A., Richens, J., Papadatos, H., Campos, S., & Shah, R. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 1

Evaluating Frontier Models for Stealth and Situational Awareness

Phuong, M., Zimmermann, R. S., Wang, Z., Lindner, D., Krakovna, V., Cogan, S., Dafoe, A., Ho, L., & Shah, R. (2025) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 1