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Equation 3 · Frontier AI Model Comparisons: A First-Principles Introduction

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A different style of evaluation sidesteps fixed question sets altogether by asking humans which of two anonymized model outputs they prefer, on real conversational prompts, and aggregating millions of these paired judgments into a ranking. Chatbot Arena, the platform behind this approach, describes itself as using “a pairwise comparison approach” that “leverages input from a diverse user base through crowdsourcing,” with the underlying statistics resting on a standard paired-comparison model rather than a raw win count [ 6 ] . The relevant object is a Bradley–Terry model: each system i is assigned a latent strength θi\theta_i , and the estimated probability that system A ’s output is preferred…
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A different style of evaluation sidesteps fixed question sets altogether by asking humans which of two anonymized model outputs they prefer, on real conversational prompts, and aggregating millions of these paired judgments into a ranking. Chatbot Arena, the platform behind this approach, describes itself as using “a pairwise comparison approach” that “leverages input from a diverse user base through crowdsourcing,” with the underlying statistics resting on a standard paired-comparison model rather than a raw win count [ 6 ] . The relevant object is a Bradley–Terry model: each system i is assigned a latent strength θi\theta_i , and the estimated probability that system A ’s output is preferred over system B ’s in a given comparison is

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