Best-of-N Sampling

Interpretable Adaptive Sampling for LLM Test-Time Scaling
An interpretable adaptive sampling method that dynamically allocates inference-time compute for efficient LLM test-time scaling.
Mobina Kashaniyan, Ali Jannesari
Posted Aug 4, 2026 Preprint, Artificial Intelligence, Large Language Models
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Interpretable Adaptive Sampling for LLM Test-Time Scaling and Test-Time Compute
Interpretable adaptive sampling for LLM test-time scaling and test-time compute. A fuzzy controller uses prompt complexity and model confidence to dynamically allocate inference-time compute for efficient LLM reasoning.
Mobina Kashaniyan
Posted Aug 4, 2026 Large Language Models, Artificial Intelligence, LLM Reasoning, Test-Time Scaling, Research Summary

© 2026 Mobina Kashaniyan.