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Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling
Recent developments in large language models have shown advantages in reallocating a notable share of computational resource from training time to inference time. However, the principles behind inference time scaling are not well understood. In this paper, we introduce an analytically tractable mode
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