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cs.LG2026
Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling
Indranil Halder, Cengiz Pehlevan
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 prin…
cs.LG2025
A solvable generative model with a linear, one-step denoiser
Indranil Halder
We develop an analytically tractable single-step diffusion model based on a linear denoiser and present an explicit formula for the Kullback-Leibler divergence between the generate…