industrial-process

This paper proposes Task-Semantic Field Factorization (TSF), an LLM-guided framework that uses offline semantic construction from process documents to enhance time-series forecasting and soft sensing in industrial processes. TSF reduces MAE by 6.4% on average with nearly negligible added parameters and inference overhead.