Author

Jingyi Qu

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Low-Latency Semantic Processing with Optimal Prompt-Level Batching

This paper measures and analytically derive an optimal size for in-prompt document batching to effectively amortize this overhead of LLM calls over public APIs, cutting end-to-end semantic operator latency by up to 14 × with no meaningful accuracy loss.

Jingyi Qu, Samuel Madden, Tianyu Li · 0 citations