1 paper
Te-Lun Yang, Jyi-Shane Liu, Yuen-Hsien Tseng +1
This study develops a question-answering system based on Retrieval-Augmented Generation (RAG) using Chinese Wikipedia and Lawbank as retrieval sources. Using TTQA and TMMLU+ as eva…