提出时间感知交叉注意力机制，提升纵向多模态阿尔茨海默病诊断精度，AI医疗前沿突破。
arXiv:2607.07091v1 Announce Type: cross Abstract: In longitudinal Alzheimer's disease (AD) diagnosis support, clinical and imaging information is ofte…
将LLM Agent作为引导器融合多种检测信号，实现高可解释性的AI生成图像检测新突破。
arXiv:2603.23115v2 Announce Type: replace Abstract: The realism of AI-generated images (AIGI) poses increasing challenges for reliable forensic detect…
一篇探索原生全模态AI代理的前沿论文，提出OmniGAIA框架，打破模态壁垒实现统一智能。
arXiv:2602.22897v3 Announce Type: replace Abstract: Human intelligence naturally intertwines omni-modal perception -- spanning vision, audio, and lang…
多模态特征融合提升脑肿瘤分类精度，一篇值得关注的医学AI前沿研究。
arXiv:2606.11107v1 Announce Type: cross Abstract: Clinicians diagnose brain tumors by synthesizing patient symptoms, medical history, and quantitative…
层级多模态融合动态与结构神经影像，精准分析轻度认知障碍。
arXiv:2606.07635v1 Announce Type: new Abstract: Multimodal neuroimaging fusion of functional MRI (fMRI) and diffusion tensor imaging (DTI) provides co…
融合拓扑数据分析与视觉Transformer，在脑肿瘤四分类任务上取得新突破。
arXiv:2606.00927v1 Announce Type: new Abstract: Accurate brain tumor classification from magnetic resonance imaging (MRI) is a key requirement for ear…
揭示视频LLM中token接口对齐的奇妙现象，重新理解多模态融合边界
arXiv:2606.00508v1 Announce Type: cross Abstract: This study introduces an intriguing phenomenon in Video LLMs: rather than merely translating frames …
提出利用大语言模型融合多模态信息，突破传统音乐推荐瓶颈，技术思路新颖。
arXiv:2606.00125v1 Announce Type: cross Abstract: Music recommendation systems typically treat songs as opaque tokens, relying on collaborative intera…
顶会ICML 2026提出多模态融合新方法，利用自一致性任务梯度场实现高效跨模态交互。
arXiv:2410.15475v2 Announce Type: replace Abstract: Multimodal learning aims to preserve as much task-related information as possible from different i…
针对多模态仇恨视频检测提出推理感知融合方法，解决模态间语义关联难题，提升检测准确度。
arXiv:2512.02743v2 Announce Type: replace-cross Abstract: Hate speech in online videos is posing an increasingly serious threat to digital platforms, …
无需训练即可编排多模态大模型，实现零样本协调多种能力，降低落地门槛
arXiv:2508.10016v4 Announce Type: replace Abstract: Building interactive omni-modal assistants often relies on end-to-end multimodal alignment to fuse…
结合视觉核心引导与对比学习，攻克多模态中风预后预测的平衡难题。
arXiv:2605.14710v1 Announce Type: cross Abstract: Deep learning and multi-modal fusion have demonstrated transformative potential in medical diagnosis…
无需修改现有模型即可融合多种药物信息，大幅提升对未见过药物的相互作用预测能力，AI+生物医药交叉的前沿研究。
arXiv:2605.14327v1 Announce Type: cross Abstract: Drug-drug interaction (DDI) prediction is a critical task in computational biomedicine, as adverse i…