Peize Li

Towards Building a Multi-Source Heterogeneous Knowledge Graph for Complex Material Question Answering

Large Language Models (LLMs) show considerable potential for materials-science question answering. However, LLM responses may still be affected by unsupported parametric associations, while dense Retrieval-Augmented Generation (RAG) can fragment relational evidence across text ch...