A research team is building a system to automatically assess the quality of multi-step mathematical solutions generated by a language model. Their goal is not only to identify incorrect solutions but also to distinguish between partially correct solutions and completely flawless ones to provide more granular feedback for model improvement. Which of the following approaches for their assessment model would best achieve this goal and why?
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A research team is building a system to automatically assess the quality of multi-step mathematical solutions generated by a language model. Their goal is not only to identify incorrect solutions but also to distinguish between partially correct solutions and completely flawless ones to provide more granular feedback for model improvement. Which of the following approaches for their assessment model would best achieve this goal and why?
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