# GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMs

> 标题为英语

> 全文为英语

**Published:** 2026年9月14日
**Author:** Zixiang Xu, Yanbo Wang, Chenxi Wang, Lang Gao, Zirui Song, Yue Huang, Zhaorun Chen, Xiangliang Zhang, Xiuying Chen
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/gta-graph-theory-agent-and-benchmark-for-algorithmic-graph-reasoning-wit

arXiv:2609.12265v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly asked to reason over structured data such as graphs, yet how reliably they can carry out multi-step graph algorithms in language remains unclear. Existing evaluations tend to use simple…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2609.12265)

**标签：** #arXiv

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