用对抗不确定性的方式引导LLM生成语义增强数据，大幅提升异质处理效应估计精度
arXiv:2607.26599v1 Announce Type: new Abstract: Estimating heterogeneous treatment effects is central to targeted interventions, such as personalized …
利用不确定性引导传感器融合，提升LiDAR与相机在全景分割中的协同效果，为自动驾驶感知提供新思路。
arXiv:2602.19349v2 Announce Type: replace Abstract: LiDAR-camera fusion enhances 3D panoptic segmentation by leveraging camera images to complement sp…
用不确定性引导多智能体LLM，解决供应链知识图谱的结构推理难题，突破一次查询局限。
arXiv:2605.26835v1 Announce Type: new Abstract: LLM-based multi-agent systems have been widely adopted for knowledge retrieval and report generation, …
血管分割新方法：利用不确定性引导的保守传播进行结构化推理，提升分割精度与鲁棒性
arXiv:2605.20543v1 Announce Type: new Abstract: Accurate vessel segmentation is essential for medical image analysis, yet remains challenging due to c…