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Tianlong Chen

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#artificial intelligence Preprint Oct 2026

Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness

Missing modality remains a longstanding challenge in multimodal learning. Existing methods typically address this issue through modality recovery or adaptive strategies. However, they overlook models'internal cross-modal dependencies formed during multimodal training, which later impair robustness. We systematically ch...

Song-Yuan Sui, Zhen Tan, Mohan Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

MASkills: Continual Skills Optimization for Multi-Agent LLM Systems

MASkills presents a new agent-optimization pipeline that integrates skill-conditioned credit assignment, hierarchical credit aggregation, and momentum-smoothed optimization, enabling agent skill libraries to evolve through refinement, induction, consolidation, and pruning.

Huaiyuan Yao, Xiaoou Liu, Charles Fleming et al. · 1 citation

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