3 papers
cs.LG2026
RagGAD: Rationale-Aware Conditional Gaussian Mixture Normalizing Flow for Unsupervised Graph Anomaly Detection
Junxin Lu, Jing Zhao, Shiliang Sun
Graph anomaly detection aims to identify nodes that deviate from normal behavioral patterns within graphs. However, existing methods largely rely on the homophily assumption, which…
cs.RO2026
S-VLA: State-Space Guided Vision-Language-Action Models for Long-Horizon Manipulation
Zhipeng Xie, Zongyi Han, Xiangyi Wei +3
Vision-Language-Action (VLA) models have demonstrated strong capabilities in robotic manipulation, but their performance degrades significantly in long-horizon tasks due to cumulat…
cs.CV2026
LEMON: How Well Do MLLMs Perform Temporal Multimodal Understanding on Instructional Videos?
Zhuang Yu, Lei Shen, Jing Zhao +1
Recent multimodal large language models (MLLMs) have shown remarkable progress across vision, audio, and language tasks, yet their performance on long-form, knowledge-intensive, an…