VISTA: Steering LLMs with Latent User Values Inferred from a Few Survey Answers
Personalizing a language model requires knowing what a person values, which stays largely consistent across tasks. Yet most methods either learn task-specific preferences or place the user's profile in the prompt, where models struggle to act on it. We introduce VISTA (Value-Informed Steering and Targeted Acquisition),...
Yi-Nuo Xu, Jadie Adams, Brian H. Hu et al.
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