Generalization Boundaries of Fine-Tuned Small Language Models for Graph Structural Inference
arXiv:2604.18092v1 Announce Type: new
Abstract: Small language models fine-tuned for graph property estimation have demonstrated strong in-distribution performance, yet their generalization capabilities beyond training conditions remain poorly underst…