AI RESEARCH
Generalization Boundaries of Fine-Tuned Small Language Models for Graph Structural Inference
arXiv CS.LG
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ArXi:2604.18092v1 Announce Type: new Small language models fine-tuned for graph property estimation have nstrated strong in-distribution performance, yet their generalization capabilities beyond