SOURCE-LINKED INTELLIGENCE
Cascaded Batch Prompting
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, est
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T12:24:59.000Z
First collected: 2026-09-21T08:51:59.673Z. This is not the publication date.