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#artificial intelligence Preprint Sep 2026

A Better Spur Should Start From Each Objective

This work proposes Multi-Marginal Preference Optimization (MMPO), a fine-grained framework that intervenes at the data, gradient, and constraint levels rather than relying on coarse-grained global scalarization to address optimization conflicts among multiple objectives in real-world deployment scenarios.

Shang-Wen Mao, Hao Zhang, Guangtao Nie et al. · 1 citation · ⚡1

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