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arXiv — cs.AI

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标题为英语GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMs

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…

arXiv — cs.AI作者: Zixiang Xu, Yanbo Wang, Chenxi Wang, Lang Gao, Zirui Song, Yue Huang, Zhaorun Chen, Xiangliang Zhang, Xiuying Chen2026年9月14日 (9月14日)
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  • 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…
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GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMs

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