FT-RAG: A Fine-grained Retrieval-Augmented Generation Framework for Complex Table Reasoning

Zebin Guo, Weidong Geng, Ruichen Mao

Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by grounding responses in external knowledge during inference. However, conventiona RAG systems under-per…