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Punit Ghodasara

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#data science Preprint Jul 2026

Efficient Clustering with Provable Guardrails for LLM Inference at Scale

This work proposes a two-stage algorithm that generates initial clusters with Mini-batch K-Means, then greedily selects representatives within each initial cluster -- a step equivalent to the Johnson-Chvatal heuristic for Set Cover over alpha-balls in embedding space.

Longshaokan Wang, Wai Tsang Keung, Punit Ghodasara et al. · 0 citations

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