AI RESEARCH
RouteGoT: Node-Adaptive Routing for Cost-Efficient Graph of Thoughts Reasoning
arXiv CS.CL
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ArXi:2603.05818v1 Announce Type: new Large Language Models (LLMs) excel at multi-step reasoning, yet increasing the structural complexity of inference does not consistently improve system-level returns. Methods such as Tree of Thoughts (ToT), Graph of Thoughts (GoT), and Adaptive Graph of Thoughts (AGoT) can boost accuracy on some benchmarks, but often