A well-tuned kNN router matches or exceeds state-of-the-art learned routers on new standardized benchmarks spanning instruction, QA, reasoning, and the first multi-modal visual routing dataset, due to locality of model performance in embedding space.
Open llm leaderboard v2
2 Pith papers cite this work. Polarity classification is still indexing.
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