Model
LLM-IRA
A RAG retrieval fusion method based on quantum-inspired interactive rank aggregation. It actively selects document pairs on which retrievers disagree most and queries an LLM for preference judgments, learning fusion weights for each retriever to achieve low-cost, high-effectiveness document reranking.