STaR: Bootstrapping Reasoning With Reasoning

STaR: Bootstrapping Reasoning With Reasoning

Generating step-by-step "chain-of-thought" rationales improves language model performance on comp...概要を表示 Generating step-by-step "chain-of-thought" rationales improves language model performance on complex reasoning tasks like mathematics or commonsense question-answering. However, inducing language model rationale generation currently requires either constructing massive rationale datasets or sacrificing accuracy by using only few-shot inference. We propose a technique to iteratively leverage a smal

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• ai