3 papers
cs.CV2026
ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection
Jingtai He, Shiyuan Meng, Wenchao Meng +1
Industrial anomaly detection (IAD) requires identifying fine-grained deviations from normal visual patterns. Multimodal large language models (MLLMs) can improve recognition accura…
eess.SY2025
Islanding Strategy for Smart Grids Oriented to Resilience Enhancement and Its Power Supply Range Optimization
Yanhong Luo, Wenchao Meng, Xi Zhu +4
With the increasing prevalence of distributed generators, islanded operation based on distributed generation is considered a vital means to enhance the reliability and resilience o…
cs.AI2025
Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment
Siming Sun, Kai Zhang, Xuejun Jiang +2
The emerging paradigm of leveraging pretrained large language models (LLMs) for time series forecasting has predominantly employed linguistic-temporal modality alignment strategies…