论文提出ACC方法，编译智能体轨迹以高效进行长上下文训练，为AI大模型的长文本处理提供新思路。
arXiv:2605.21850v1 Announce Type: new Abstract: Recent development of agents has renewed demand for long-context reasoning capacity of LLMs. However, …
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…
一篇关于几何视图扩散模型的论文，提出景观感知方法提升3D场景重建质量，创新融合空间几何与扩散先验。
arXiv:2605.19865v1 Announce Type: new Abstract: Accurate camera viewpoint estimation under sparse-view conditions remains challenging, particularly in…
生物医学问答新突破：结构化证据建模+不确定性感知融合，提升答案准确性与可靠性。
arXiv:2605.17435v1 Announce Type: new Abstract: Biomedical question answering often requires decisions from retrieved literature whose relevance, qual…
颠覆传统认知：语音克隆本质是风格迁移，斯坦福团队用新视角重新定义技术边界。
arXiv:2605.16578v1 Announce Type: cross Abstract: Artificially generated speech is increasingly embedded in everyday life. Voice cloning in particular…