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An Inspectable LLM Council for Multi-Model Research Answer Aggregation
Long-form research questions often require a single answer that combines details, reconciles conflicting estimates, and retains qualifications spread across several large language model (LLM) outputs. We present an inspectable LLM Council that separates synthesis into two stages: an analyst converts
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