用多模态大模型看穿AI写的诗，图文结合检测现代中文诗歌真伪。
arXiv:2605.22654v1 Announce Type: new Abstract: Previous detection studies have shown that LLMs cannot be effectively used as detectors, but these stu…
将多模态大语言模型引入细粒度水果识别，通过仲裁机制实现异构集成，大幅提升准确率。
arXiv:2605.20892v1 Announce Type: new Abstract: Fine-grained fruit classification is a critical yet challenging task in agricultural computer vision, …
新基准Artifact-Bench，专门评估多模态大模型识别AI视频伪影的能力，揭示模型真实短板。
arXiv:2605.18984v1 Announce Type: new Abstract: Recent video generative models have greatly improved the realism of AI-generated videos, yet their out…
StrLoRA提出流式持续视觉指令微调新方法，有效缓解多模态大模型在序列任务中的灾难性遗忘。
arXiv:2605.16353v1 Announce Type: new Abstract: Continual Visual Instruction Tuning (CVIT) enables Multimodal Large Language Models to incrementally a…
多模态大模型训练新范式：阶段感知稀疏性动态消除冗余，大幅提升效率而保持性能。
arXiv:2509.18150v2 Announce Type: replace Abstract: Multimodal Large Language Models (MLLMs) have demonstrated outstanding performance across a variet…
重新思考高分辨率多模态大模型中的Zoom-IN方法，提出Hierarchical Decoupling框架，显著提升视觉理解性能。
arXiv:2510.00054v2 Announce Type: replace Abstract: Multimodal Large Language Models (MLLMs) have made significant strides in visual understanding tas…
用方程锚定工具使用，让多模态大模型实现相机鲁棒的3D定位，突破视觉视角限制。
arXiv:2605.19528v1 Announce Type: new Abstract: 3D localization in Multimodal Large Language Models (MLLMs), including 3D object detection and 3D visu…
多模态大模型在空间智能上的突破，赋予AI更强的视觉感知与推理能力。
arXiv:2505.23747v2 Announce Type: replace-cross Abstract: Recent advancements in Multimodal Large Language Models (MLLMs) have significantly enhanced …
新型多模态大语言模型CG-MLLM实现3D内容描述与高分辨率生成，突破细粒度几何建模瓶颈
arXiv:2601.21798v2 Announce Type: replace Abstract: Large Language Models(LLMs) have revolutionized text generation and multimodal perception,but thei…
首个专为遥感领域复杂推理设计的视觉语言基准VLRS-Bench，从认知、决策、预测三维度构建2000个高难度问答对，揭示现有MLLM在遥感推理上的显著瓶颈，为多模态AI在遥感应用的发展提供关键方向。
arXiv:2602.07045v2 Announce Type: replace-cross Abstract: Recent advancements in Multimodal Large Language Models (MLLMs) have enabled complex reasoni…