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Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards
arXiv:2510.01167v2 Announce Type: replace Abstract: Aligning large language models to human preferences is inherently multidimensional, yet most pipelines collapse heterogeneous signals into a single objective. We seek to answer what it would take to simultaneously align a model across various domains spanning those with: verifiable rewards, non-verifiable subjective preferences, and complex interactive scenarios.