GraphDecide: Benchmarking System One Models on Graph Tasks

Excerpt

arXiv:2610.06354v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly explored for graph understanding and decision-making, while System One models such as Jev select directly from supplied options. However, the capabilities of System One models on graph-related tasks remain unclear. We introduce GraphDecide, a model-independent benchmark that combines structural task profiles, matched graph-text input contrasts and heuristic-proposal controls to diagnose graph decision p