A fuzzy controller that allocates a per-prompt sampling budget keeps LLM accuracy near a fixed full-budget baseline while reducing the average number of candidate answers on some datasets.
Revisiting the test-time scaling of o1-like models
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Interpretable Adaptive Sampling for LLM Test-Time Scaling
A fuzzy controller that allocates a per-prompt sampling budget keeps LLM accuracy near a fixed full-budget baseline while reducing the average number of candidate answers on some datasets.