Batching Strategies Impact Test-Time Scaling Efficiency for Small LLMs
September 15, 2026
Increasing candidate count (N) from 1 to 8 improves GSM8K accuracy by 8.4% for Phi-3-mini and 18.4% for Qwen2.5-1.5B. The research highlights that total candidate budget alone fails to account for the computational costs and latency variations between single batched generation calls versus multiple sequential calls.
HOW THIS AFFECTS YOU
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builderYou should optimize batch sizes rather than just increasing sample counts to manage inference costs.
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researcherConsider execution strategy, not just sample size, when evaluating test-time scaling performance.