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

Lectura rápida

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 tasks on small graphs, to score code generation rather than reasoning over the g

Tramo Uno resume esta señal para que entiendas qué ocurrió antes de decidir si quieres revisar la cobertura completa en la fuente original.