Abstract Priorities, Concrete Rewards: How Stated Preferences Relate to What People Reward in AI Responses.

arXiv:2610.30763v1 Announce Type: cross Abstract: AI assistants built on large language models (LLMs) are trained on human feedback and increasingly personalized to users' stated preferences. Yet how closely these preferences reflect what people reward in resp