LM-Guided CoT: A Novel Machine Learning Framework that Leverages a Lightweight (<1B) Language Model (LM) for guiding a black-box large (>10B) LM in Reasoning Tasks

Chain-of-thought (CoT) prompting involves instructing language models (LMs) to reason step by step, resulting in improved performance across various arithmetic, commonsense, and symbolic reasoning domains. However, conventional CoT has limitations. While it shows performance gains in large LMs of 100+ billion parameters, it often yields repetitive and vacuous rationales due to their lack of faithfulness […]

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