2025
Hypothetical Documents or Knowledge Leakage? Rethinking LLM-based Query Expansion
ACL 2025finding
Query expansion methods powered by large language models (LLMs) have demonstrated effectiveness in zero-shot retrieval tasks. These methods assume that LLMs can generate hypothetical documents that, when incorporated into a query vector, enhance the retrieval of real evidence. However, we challenge…