Author

Sixun Dong

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#artificial intelligence Preprint Oct 2026

Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory

Multimodal models and agents have emerged to enable AI systems to learn from and interact with the real world more like humans by integrating information across multiple modalities. However, enabling multimodal agents to continually acquire useful information from complex, heterogeneous multimodal data remains a signif...

Ming-Hao Guo, Qing-Yue Jiao, Xiu-Jin Liu et al. · 0 citations

#artificial intelligence Preprint Oct 2026

MARS: Multi-resolution Adaptive Routing for Sequential Recommendation

Long-history recommenders often compress each user's history into a compact, candidate-independent memory that is cached and reused to score large candidate pools. We show that real user histories exhibit multi-scale semantic structure, with short-lived intent, medium-term interests, and long-term preferences coexistin...

Ming Yin, Sixun Dong, Yu-Dong Liu et al. · 0 citations