Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs
Peiliang Gong, Emadeldeen Eldele, Chenyu Liu +8
Large Language Models (LLMs) have recently demonstrated impressive potential for time series forecasting. However, existing methods predominantly rely on passive modality alignment…
cs.AI2026
Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular Observations
Deyu Zhuang, Peiliang Gong, Yang Shao +4
Accurate Remaining Useful Life prediction is critical for industrial predictive maintenance. However, real-world deployment is challenging due to the irregular nature of sensor obs…