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Author

Yaozhi Wen

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Review Open access Jan 2026

EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models

The results indicate that: 1) linear probing is frequently insufficient; 2) specialist models trained from scratch remain competitive across many tasks; and 3) larger FMs do not necessarily yield better generalization performance under current data regimes and training practices.

Dingkun Liu, Yu-Heng Chen, Zhu Chen et al. · 12 citations · ⚡3
Preprint Aug 2026

SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models

This work introduces an adaptive visual token selection strategy for VLMs that leverages average text-to-visual attention scores to assess the importance of visual tokens, removing redundant ones during pruning based on a set threshold, thereby optimizing the importance calculation.

Yaozhi Wen, Jialong Guo, Zhen-Liang Ni et al. · 0 citations

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