用Mamba增强跨注意力处理纵向MRI，精准追踪前列腺变化，医学影像分割新解法
arXiv:2510.17529v3 Announce Type: replace-cross Abstract: Active Surveillance (AS) is a treatment option for managing low and intermediate-risk prosta…
轻量级CNN+Mamba框架精准自动睡眠分期，专攻小样本EEG数据集，高效实用。
arXiv:2607.04934v1 Announce Type: new Abstract: Automatic sleep staging is a key technology for precise diagnosis and treatment of sleep disorders as …
CLIP的注意力机制有缺陷？Mamba架构对比学习新方案CLIMP来了，彻底抛弃Transformer，直击虚假关联与计算瓶颈
arXiv:2601.06891v2 Announce Type: replace Abstract: Contrastive Language-Image Pre-training (CLIP) relies on Vision Transformers whose attention mecha…
用Mamba替代Transformer，结合查询式跨模态投影器，大幅降低多模态大模型的计算复杂度
arXiv:2606.04719v1 Announce Type: new Abstract: The Transformer's quadratic complexity with input length imposes an unsustainable computational load o…
实验对比多种Transformer替代架构，含RNN、TCN等，并附个人代码仓库与优缺点笔记
over the last months I've experimented with many alternatives to transformers, such as one i created github repo about: https://github.com/bggb7781-co…
融合Mamba状态空间模型与大语言模型推理，首度实现自闭症脑fMRI功能连接的动态图学习与解释
arXiv:2602.13770v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have demonstrated strong semantic reasoning across multimodal d…
揭秘低资源语言大模型中的专家路由：对比Transformer与Mamba混合架构的MoE表现。
arXiv:2605.17598v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) architectures enable efficient model scaling, yet expert routing behavior acr…
利用Mamba架构融合频率域与空间-光谱信息，实现红外高光谱图像高质量着色，解决视觉感知难题。
arXiv:2605.15880v1 Announce Type: cross Abstract: Thermal infrared imaging is robust to illumination variations and smoke interference, making it impo…
对Mamba等状态空间模型提出隐藏状态中毒攻击，揭示其对抗鲁棒性重大漏洞，引发对新型LLM安全性的反思。
arXiv:2601.01972v4 Announce Type: cross Abstract: State space models (SSMs) like Mamba offer efficient alternatives to Transformer-based language mode…