AI RESEARCH
High-Stakes Personalization: Rethinking LLM Customization for Individual Investor Decision-Making
arXiv CS.LG
•
ArXi:2604.04300v1 Announce Type: cross Personalized LLM systems have advanced rapidly, yet most operate in domains where user preferences are stable and ground truth is either absent or subjective. We argue that individual investor decision-making presents a uniquely challenging domain for LLM personalization - one that exposes fundamental limitations in current customization paradigms.