FlexRouter: Learning Complementary Model Sets for Flexible LLM Routing
FlexRouter is a routing framework for Large Language Models (LLMs) that optimizes for answer coverage by selecting models that complement each other, improving the probability of a correct response. It uses Determinantal Point Processes (DPPs) and a novel training objective to adaptively determine subset sizes without a predefined budget.
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