The post discusses the encoding of graphs for large language models (LLMs) and how it impacts LLM performance on graph tasks. It introduces a benchmark called GraphQA that evaluates LLMs on graph-specific problems. The study found that the encoding method, task type, and graph structure all influence LLM performance. The right

7m read timeFrom blog.research.google
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Graphs as textAnalysis and resultsConclusionAcknowledgements

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