Scoring Reasoning Paths by Counting Correct Steps
Once a process-based reward model is trained to classify each step of a reasoning path, it can be used to evaluate the overall quality of the entire path. A straightforward evaluation method involves aggregating the step-level classifications by simply counting the total number of steps that the model identifies as 'correct'. This count serves as the overall score or reward for the reasoning path.
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Ch.4 Alignment - Foundations of Large Language Models
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Formula for Scoring Reasoning Paths by Counting Correct Steps
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