CodeGraph: Enhancing Graph Reasoning of LLMs with Code

With the increasing popularity of large language models (LLMs), reasoning on basic graph algorithm problems is an essential intermediate step in assessing their abilities to process and infer complex graph reasoning tasks. Existing methods usually convert graph-structured data to textual description...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2024-08
Hauptverfasser:	Cai, Qiaolong, Wang, Zhaowei, Diao, Shizhe, Kwok, James, Song, Yangqiu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Arithmetic Basic converters Computation Controllability Graph theory Large language models Mathematical analysis Reasoning Structured data Task complexity Teaching methods
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!