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Continuous-Utility Direct Preference Optimization

Mohsin, Muhammad Ahmed et al.
arXiv (All) · Papers
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machine-learning
Large language model reasoning is often treated as a monolithic capability, relying on binary preference supervision that fails to capture partial progress or fine-grained reasoning quality. We introduce continuous utility direct preference optimization (CU-DPO), a framework that aligns models to a
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