Balesni, Mikita

The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

Berglund, L., Tong, M., Kaufmann, M., Balesni, M., Stickland, A. C., Korbak, T., & Evans, O. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 36

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

Taken out of context: On measuring situational awareness in LLMs

Berglund, L., Stickland, A. C., Balesni, M., Kaufmann, M., Tong, M., Korbak, T., Kokotajlo, D., & Evans, O. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 8

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) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 8

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