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Many Preferences, Few Policies: Compact Portfolios for Multi-Objective LLM Alignment
Aligning large language models (LLMs) requires balancing competing objectives such as helpfulness, harmlessness, and conciseness. The appropriate balance varies across users and applications, yet training, evaluating, and deploying many policies across different reward weights is costly. We study ho
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