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.
Open-Ended Scenario Reasoning for Specialist Model Adaptation
A risk-gated Bayesian adaptation framework that uses open-ended scenario evidence to correct frozen specialist models without retraining.
LLM-Driven Human-AI Collaborative Decision Support System for Complex Industrial Processes: A Case Study in Metallurgy
A human-AI decision-support architecture integrating feedback-based retrieval, memory-augmented SQL generation, and meta-cognitive tool orchestration.
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.
Hybrid Grid Search and Bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes
First-author journal article on random-forest-based pressure prediction in manufacturing processes.