Yuxiang Xue

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering

Understanding temporal concepts and answering time-sensitive questions is crucial yet a challenging task for question-answering systems powered by large language models (LLMs). Existing approaches either update the parametric knowledge of LLMs with new facts, which is resource-intensive and often im