MERGE: Multi-LLM Ensemble for Retrieval via Generative Enrichment
Large Language Models (LLMs) are increasingly used to enrich user queries in information retrieval (IR) so that a standard retriever such as BM25 can bridge vocabulary gaps with the target corpus. Any single LLM, however, is limited by its training data and architectural biases, and its enrichment behavior depends on h...
Tzu-I Ho, Yung-Yu Shih, Shang-Yu Su et al.
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