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HyperGVL: Benchmarking and Improving Large Vision-Language Models in Hypergraph Understanding and Reasoning

arXiv cs.CL · 2026-04-20 Cached

HyperGVL introduces the first benchmark for evaluating Large Vision-Language Models on hypergraph understanding and reasoning, featuring 84,000 QA samples across 12 tasks and real-world applications. The paper also proposes WiseHyGR, a generalizable router that enhances LVLM performance through adaptive hypergraph representations.

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