4 papers
LayerTracer: A Joint Task-Particle and Vulnerable-Layer Analysis framework for Arbitrary Large Language Model Architectures
Yuhang Wu, Qinyuan Liu, Qiuyang Zhao +1
Currently, Large Language Models (LLMs) feature a diversified architectural landscape, including traditional Transformer, GateDeltaNet, and Mamba. However, the evolutionary laws of…
PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures
Yuheng Shao, Lizhang Wang, Changhao Li +2
Zero-Shot Anomaly Detection (ZSAD) aims to identify and localize anomalous regions in images of unseen object classes. While recent methods based on vision-language models like CLI…
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
Peng Zhu, Yuante Li, Yifan Hu +4
As financial markets grow increasingly complex in the big data era, accurate stock prediction has become more critical. Traditional time series models, such as GRUs, have been wide…
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
Peng Zhu, Yuante Li, Yifan Hu +3
Stock price prediction is a challenging problem in the field of finance and receives widespread attention. In recent years, with the rapid development of technologies such as deep…