LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting
An offline LLM-guided input factorization that lets each numerical window activate task-aware variable semantics before a standard forecasting backbone.
A meta-contrastive learning hybrid model for adaptive temperature trend prediction in variable ladle preheating
Meta-contrastive adaptation for multi-step temperature forecasting across variable ladle-preheating tasks.