Training-Free Cross-Domain Learning Transfer in Reasoning Models
Results demonstrate that explicit structural pattern matching can enable zero-shot cross-domain reasoning transfer without target-domain labels or model-weight updates, and show that the improvement comes from the combination of graph-based abstraction, WL-kernel structural retrieval, and verifier-controlled selective...