Haoran Li

SC-HyDE: Mitigating Hallucinations in Chinese Legal Question Answering via Self-Corrected Hypothetical Document Embeddings

Retrieval-Augmented Generation (RAG) has been cited as a potential technique for reducing hallucinations in Large Language Models (LLM). However, applying RAG in the Chinese legal landscape remains a challenge due to the large semantic gap between informal user queries and professional legal terminology, and the risk o...