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Xingjian Diao

2 papers indexed here

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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 Sep 2026

Which Tokens Should SFT Actually Learn? A Token-Trimming Perspective on Mathematical Reasoning

Supervised fine-tuning (SFT) applies a uniform cross-entropy loss to all target tokens, even though different tokens provide unequal learning signals for mathematical reasoning. This uniform treatment can over-sharpen already mastered tokens while amplifying learning pressure on uncertain, low-confidence tokens, leadin...

Ya-Ning Jia, Chun-Hui Zhang, Wen-Xuan Xu et al. · 0 citations

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