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RAT: Retrieval Augmented Thoughts for Context-Aware Reasoning

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RAT: Retrieval Augmented Thoughts for Context-Aware Reasoning

This article primarily explains the paper “RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation”[1]. Currently, there are some relevant introductions available online, but most only discuss the ideas and mainly rely on GPT translations, which can be quite awkward and do not provide a detailed understanding of all principles. Therefore, a detailed description … Read more

Impact of Reasoning Step Length on LLM Performance

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Impact of Reasoning Step Length on LLM Performance

Report by Machine Heart Machine Heart Editorial Team This article conducts a controlled variable experiment on the reasoning step length of the thinking chain, finding that the reasoning step length is linearly correlated with the accuracy of the answers, and this influence mechanism even transcends the differences generated by the problem itself. Today, the emergence … Read more