Selecting LLM proposers by measured complementarity via greedy algorithms on small labeled data yields better performance-cost trade-offs than accuracy-only or diversity-only baselines in summarizer ensembles.
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Mixture of Complementary Agents for Robust LLM Ensemble
Selecting LLM proposers by measured complementarity via greedy algorithms on small labeled data yields better performance-cost trade-offs than accuracy-only or diversity-only baselines in summarizer ensembles.