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Answering questions about long videos often requires connecting events involving the same objects across hours or days. Chronological descriptions and text-derived entities can leave physical identity unresolved: different objects may share a description, while observations of the same object remain disconnected across...
This paper introduces a novel task, graph textual summarization, which aims to generate natural language descriptions that capture both the semantic content and structural characteristics of graph data based on large language models (LLMs). Unlike traditional summarization tasks for text, images, or videos, summarizing...
This paper develops a comprehensive benchmark construction framework and constructs three diverse benchmark datasets and proposes a unified evaluation framework that assesses both linguistic quality and factual consistency, providing a comprehensive approach to evaluating generated summaries for content fidelity and ac...
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