Xingyun Hong

Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models

2024 · arXiv (Cornell University)

The development of LLMs has greatly enhanced the intelligence and fluency of question answering, while the emergence of retrieval enhancement has enabled models to better utilize external information. However, the presence of noise and errors …