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ml-recall

#preference-probability

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Question 1: Short answer

mediumAI-checkedAlignment & Reasoning

A reward model is trained under the Bradley–Terry preference model, P(y1≻y2∣x)=σ(r(x,y1)−r(x,y2))P(y_1 \succ y_2 \mid x) = \sigma\big(r(x, y_1) - r(x, y_2)\big). For three responses AA, BB, CC to the same prompt it predicts P(A≻B)=0.8P(A \succ B) = 0.8 and P(B≻C)=0.6P(B \succ C) = 0.6. What probability does it assign to A≻CA \succ C?

a probability, 3 decimals