Scheurer, Jérémy

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Casper, S., Davies, X., Shi, C., Gilbert, T. K., Scheurer, J., Rando, J., Freedman, R., Korbak, T., Lindner, D., Freire, P., et al. (2023) · arXiv

Reinforcement Learning in RoboticsPsychiatry, Mental Health, Neuroscience

Cited by 101

Training Language Models with Language Feedback at Scale

Scheurer, J., Campos, J. A., Korbak, T., Chan, J. S., Chen, A., Cho, K., & Perez, E. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

Training Language Models with Language Feedback

Scheurer, J., Campos, J. A., Chan, J. S., Chen, A., Cho, K., & Perez, E. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 11

Large Language Models can Strategically Deceive their Users when Put Under Pressure

Scheurer, J., Balesni, M., & Hobbhahn, M. (2023) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 11

Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs

Laine, R., Chughtai, B., Betley, J., Hariharan, K., Scheurer, J., Balesni, M., Hobbhahn, M., Meinke, A., & Evans, O. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingEthics and Social Impacts of AI

Cited by 8

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Casper, S., Davies, X., Shi, C., Krendl Gilbert, T., Scheurer, J., Rando Ramirez, J., Freedman, R., Korbak, T., Lindner, D., Freire, P., et al. (2023) · ETH Zurich

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 3