作者位次 #5/6ACL 2026Findings· Findings of ACL
Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment
Yizhuo Zhang · Heng Wang · Shangbin Feng · Zhaoxuan Tan · Xinyun Liu · Yulia Tsvetkov
摘要
Previous research has sought to enhance the graph reasoning capabilities of LLMs by supervised fine-tuning on synthetic graph data. While these led to specialized LLMs better at solving graph algorithm problems, we don’t need LLMs for shortest path: we need generalization from synthetic graph dat...