Cascaded Batch Prompting

Sho Hoshino; Peinan Zhang

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arXiv · 2608.27038

Cascaded Batch Prompting

Sho Hoshino·Peinan Zhang

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Abstract

Although batch prompting makes large language model inference more efficient by processing multiple instances simultaneously, it suffers from unpredictable downstream task performance. We propose cascaded batch prompting, a two-stage approach designed to resolve the unpredictability of conventional batch prompting by disentangling complex reasoning from symbol grounding. Experiments on multiple-choice question answering and natural language inference demonstrate that the proposed method outperforms the standard single prompting baseline while achieving a speedup proportional to batch size, establishing a new state of the art on the Pareto frontier.

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Sho Hoshino, Peinan Zhang. 2026-08-27. Cascaded Batch Prompting. https://arxiv.org/abs/2608.27038

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