AINeutralarXiv – CS AI · 7h ago6/10
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Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards
Researchers propose MAHALO, a framework for training large language models across multiple competing objectives simultaneously, including verifiable tasks like math reasoning and non-verifiable subjective preferences like human values alignment. The approach uses PRM-guided decoding and Multi-Action-Head DPO to balance conflicting goals while maintaining user control during inference.