arxiv
PublishedOctober 21, 2026 at 4:00 AM
Scaling Graph Reasoning in Language Models with Learnable Graph Positional Encodings
Publisher summary· verbatim
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 number of edges, which limits the size of
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Originally published on arxiv ↗