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Effective Distillation to Hybrid xLSTM Architectures
将知识蒸馏引入混合xLSTM架构，探索高效模型压缩新方向
arXiv:2603.15590v2 Announce Type: replace Abstract: There have been numerous attempts to distill quadratic attention-based large language models (LLMs…
2
QuChaTeR: A Hybrid Quantum-Chaotic Temporal Framework for Earthquake Prediction
QuChaTeR 结合量子计算与混沌映射，构建新型混合框架提升地震预测精度，兼具理论创新与实用潜力
arXiv:2605.16454v1 Announce Type: new Abstract: Seismic prediction remains challenging due to the highly nonlinear and chaotic dynamics of earthquake …
3
Towards Label-Free Single-Cell Phenotyping Using Multi-Task Learning
打破传统荧光标记依赖，多任务学习与混合架构（CNN+Transformer+LLM）让无标记单细胞成像同时完成白细胞分类和蛋白表达预测，为高通量血液分析开辟了低成本、可解释的新路径。
arXiv:2605.14717v1 Announce Type: cross Abstract: Label-free single-cell imaging offers a scalable, non-invasive alternative to fluorescence-based cyt…