Richer Annotation Schemes for Reasoning Steps
To provide more nuanced feedback, annotation schemes for reasoning steps can be expanded beyond simple 'correct' and 'incorrect' labels. For instance, a 'neutral' label can be used to flag a step that is technically accurate but may be flawed or unhelpful within the broader context of the reasoning process.
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Computing Sciences
Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models Course
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Richer Annotation Schemes for Reasoning Steps
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Process Reward Model (PRM)
A development team is training a language model to generate step-by-step solutions to complex logic puzzles. The primary objective is to improve the model's ability to construct a valid and coherent reasoning path, not just to arrive at the correct final conclusion. The team plans to use human annotators to provide feedback on the model's generated solutions. Which of the following annotation strategies is most directly aligned with improving the model's reasoning process?
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