今天读了一篇有意思的论文《Large Language Models as Analogical Reasoners 》,跟大家一起分享一下。 如果你对提示工程熟悉的话,一定听说过“思维链”(CoT,Chain of Thought),可以显著提升大语言模型(LLM)的推理能力。但使用 CoT 的时候,是需要我们需要提供相关的指导或推理示例来引导模型的。 常用的两种 CoT 方...
今天读了一篇有意思的论文《Large Language Models as Analogical Reasoners | 大语言模型的类比推理能力》,提到了一种新的Prompt方法——“类推提示法”,跟大家一起分享一下。 如果你对提示工程熟悉的话,一定听...
The standard Engineer-Lawyer problem (Kahneman & Tversky, 1973) points to the failure of reasoners to integrate mentioned base-rate information in arriving... J Baratgin,IA Noveck - 《Memory & Cognition》 被引量: 36发表: 2000年 Emergent analogical reasoning in large language models The recent...
this capacity is closely tied to an ability to reason by analogy. Here we performed a direct comparison between human reasoners and a large language model (the text-davinci-003 variant of Generative Pre-trained Transformer (GPT)-3) on a range of analogical tasks, including a non-visual matr...
DeepWalk uses random walks to expand the neighborhood of a vertex, which is analogical to a depth-first search. We use a breadth- first search strategy, which is a more reasonable approach to the second-order proximity. Practically, DeepWalk only ap- plies to unweighted networks, while our ...
论文解读:Large Language Models as Analogical Reasoners 一、动机 大模型在各种类型的NLP任务上均展现出惊艳的表现。基于CoT propmt能够更好地激发大模型解决复杂推理问题的能力,例如解决数学解题,可以让模型生成reasoning path。现有的经典的CoT方法有few-shot cot、zero-shot cot等。
Analogical Reasoners | 今天读了一篇有意思的论文《Large Language Models as Analogical Reasoners 》,跟大家一起分享一下。如果你对提示工程熟悉的话,一定听说过“思维链”(CoT,Chain of Thought),可以显著提升大语言模型(LLM)的推理能力。但使用 CoT 的时候,是需要我们需要提供相关的指导或推理示例来引导模型的...