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…
cs.LG2025
Conv-like Scale-Fusion Time Series Transformer: A Multi-Scale Representation for Variable-Length Long Time Series
Kai Zhang, Siming Sun, Zhengyu Fan +2
Time series analysis faces significant challenges in handling variable-length data and achieving robust generalization. While Transformer-based models have advanced time series tas…
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…