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MERGE: Multi-LLM Ensemble for Retrieval via Generative Enrichment

Tzu-I Ho, Yung-Yu Shih, Shang-Yu Su, Dongzhe Wang, Yun-Nung Chen · Sep 29, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 45% High protocol signal Freshness: Hot Status: Fallback
Automatic Metrics Long Horizon General
  • Unlike APO methods that judge candidates with an LLM evaluator, our loop scores each candidate by its downstream retrieval performance and runs a small tournament between the current champion prompt and optimizer-proposed drafts,…
  • On five BEIR benchmarks (NQ, SciFact, FiQA, Touche-2020, DBPedia), MERGE improves BM25 nDCG@10 over the original queries by +2.1 to +14.9 points and matches or outperforms strong LLM-based query-expansion baselines despite using only…
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