Pin-Chao Liao

Construction Quality Risk Factors Extraction Based on LLM-Assisted Text Mining from Big Data in Court Cases: Aligned with IDI Liability Clauses

This study develops a large language model (LLM)-assisted text-mining framework for extracting key factors from large-scale unstructured documents and demonstrates that the approach not only corroborates established risk factors but also reveals overlooked causes, highlighting the potential of LLM-driven text mining to enhance large-scale risk knowledge extraction.