Scaling Graph Reasoning in Language Models with Learnable Graph Positional Encodings.
arXiv:2610.27439v1 Announce Type: cross Abstract: Solving reasoning tasks supported on graphs typically requires providing a Language Reasoning Model (LRM) with a serialized description of the graph. This approach results in the input length growing with the n
arXiv cs.AIResearch source·