AI RESEARCH
MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models
arXiv CS.CL
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ArXi:2605.25342v1 Announce Type: new Aligning large language models (LLMs) with diverse and multifaceted user preferences is a fundamental challenge in personalized AI systems. Existing multi-objective alignment methods either rely on costly