Author

Huimu Wang

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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

Jul 2026

CogRec: Structure-Cognitive Fast-and-Slow Reasoning for Generative Recommendation

Experiments on three public sequential-recommendation benchmarks show that SID Routing improves its corresponding direct-generation, and indicate that structure-grounded reasoning is most useful when prefix matching is insufficient but learnable SID-space transitions remain available, whereas long or weakly supported r...

Xiang Liu, Jingsong Su, Shuqing Zhao et al. · arXiv.org · 0 citations