Punit Ghodasara
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2026
Efficient Clustering with Provable Guardrails for LLM Inference at Scale
This paper proposes a two-stage clustering algorithm to ensure per-sample guardrails in LLM-based applications, reducing inference cost and latency.
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cs.LGstat.MLEmpiricalRecentJul 22, 2026
Efficient Clustering with Provable Guardrails for LLM Inference at Scale
Longshaokan Wang, Wai Tsang Keung, Punit Ghodasara, Roman Wang +2 more
This paper proposes a two-stage clustering algorithm to ensure per-sample guardrails in LLM-based applications, reducing inference cost and latency.
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