Mitigating Social Sycophancy via Pluralistic Preference Optimization
Personal advice, including relationship advice, now ranks among the most common uses of generative AI. But language models (LMs) exhibit sycophancy: they affirm users much more often than humans do, which can make people overconfident and less willing to repair their relationships after a conflict.
By Stephane Hatgis-Kessell, Myra Cheng, Xiaoxuan Hou, Qian Hu, Rahul Gupta, Natasha Jaques, Emma BrunskillarXiv - cs.AI
Read the full story
Originally published by arXiv - cs.AI on Oct 5, 2026.
Comments
Sign in to join the discussion.