Automatic In-Domain Exemplar Construction and LLM-Based Refinement of Multi-LLM Expansions for Query Expansion

Researchers developed an automated query expansion framework using multiple large language models that constructs domain-specific examples without manual intervention. The system uses a two-LLM ensemble approach where different models generate expansions that are then refined by a third LLM, showing significant improvements over traditional methods across multiple datasets.