AIBullisharXiv – CS AI · Mar 36/107
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Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning
Researchers have developed RGLM, a new approach to improve how large language models understand and process graph data by incorporating explicit graph supervision alongside text instructions. The method addresses limitations in existing Graph-Tokenizing LLMs that rely too heavily on text supervision, leading to underutilization of graph context.