Sijia Yao

ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance

Large language models (LLMs) have demonstrated significant potential in enhancing dense retrieval through query augmentation. However, most existing methods treat the LLM and the retriever as separate modules, overlooking the alignment between generation and ranking objectives. In this work, we prop