Path-of-Thoughts: Extracting and Following Paths for Robust Relational
Reasoning with Large Language Models
Path-of-Thoughts: Extracting and Following Paths for Robust Relational
Reasoning with Large Language Models
Large language models (LLMs) possess vast semantic knowledge but often struggle with complex reasoning tasks, particularly in relational reasoning problems such as kinship or spatial reasoning. In this paper, we present Path-of-Thoughts (PoT), a novel framework designed to tackle relation reasoning by decomposing the task into three key stages: graph …