Scalable Context-Aware Graph Attention for Mobile Network Anomaly Detection
Discover C-MTAD-GAT, a scalable unsupervised anomaly detection model using graph attention for large-scale mobile networks, improving accuracy and reducing...
PAMod: Advanced Phase-Amplitude Modulation for Time Series Forecasting
Discover PAMod, a novel framework using phase-amplitude modulation to improve accuracy in non-stationary time series forecasting with cyclical shifts.
AI-Accelerated CFD Simulations Optimized for IPU Platform
Explore how AI-accelerated CFD simulations leverage IPU technology for faster, more accurate computational fluid dynamics performance.
How Task Phrasing Affects Presumptions in Large Language Models
Explore how task phrasing influences presumptions in large language models, impacting their accuracy and adaptability in AI applications.
Preventing Mode Collapse in LLMs with Geometric Regulation
Discover how geometric regulation and Reinforced Mode Regulation (RMR) help large language models avoid mode collapse for better text generation.