The Alignment Score quantifies semantic divergence between model-generated and human-preferred reasoning chains and correlates with accuracy, readability, and coherence.
InProceed- ings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 1107–1128, Miami, Florida, USA
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Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language Models
The Alignment Score quantifies semantic divergence between model-generated and human-preferred reasoning chains and correlates with accuracy, readability, and coherence.