GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMs
The Graph Theory Agent (GTA), which pairs a preference-trained representation selector with plan-and-decompose scaffolding around a frozen executor LLM, is proposed, which lifts Phi-4 from 53.5% to 69.1% on the benchmark's easy split and from 33.0% to 41.5% on its hard split.
Zi-Xiang Xu, Yan-Bo Wang, Chenxi Wang et al.
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