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arXiv — cs.AI preprintsInternational16 October 2026

Where Do LLM Ensemble Gains Come From? Decomposing Candidate Value, Diversity, and Aggregation

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arXiv:2610.18786v2 Announce Type: replace-cross Abstract: LLM ensemble gains are often measured against a single baseline, but the value attributed to additional candidates can change with the comparison used. We study an LLM aggregator under four matched conditions: Direct (no candidates), Single-slot (one candidate in a multi-slot interface), Duplicate (one candidate repeated), and Multi-candidate (separately generated candidates). Under either non-diverse control, overall candidate gain (CIV) splits algebraically into an additional-candidate contrast (DSV) and a candidate-context contrast (
— arXiv — cs.AI preprints

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