English(EN)InSight-doc: Agentic Visual Perception for Long-Document Understanding
新框架应对长文档和演进式文档理解挑战
作者PulseAugur 编辑部·[4 个来源]·
研究人员开发了新的框架来应对理解长文档和演进式文档的挑战。InSight-doc 是一个代理式视觉感知框架,能自适应地分配视觉分辨率,以提高文档视觉问答的准确性并降低延迟。另外,TIDE 对大型语言模型在时间演进式文档上的表现进行基准测试,突显了其在版本解析和时间准确性方面的显著弱点。DocAtlas 提出了一种可变状态交互方法,将文档理解视为一个信息检索过程,并提供了搜索、阅读和笔记记录等工具,在基准测试中表现出改进的性能。
AI
影响
这些进展可以显著提高 AI 处理和推理复杂、冗长且对时间敏感的文档的能力,对法律科技、研究和知识管理等领域产生影响。
arXiv:2608.10628v1 Announce Type: cross Abstract: Long-document understanding often requires reasoning over many visually rich pages, making inference costly and prone to context rot. In this work, we propose InSight-doc, an agentic visual perception framework that treats visual …
arXiv cs.AI
TIER_1English(EN)·Mahbub E Sobhani, Md. Faiyaz Abdullah Sayeedi, Fahmid Hasan Chowdhury, Md Adnan Arefeen, Farig Sadeque, Md. Faizul Bari, Swakkhar Shatabda·
arXiv:2608.08512v1 Announce Type: new Abstract: Evolving documents, such as laws, tax codes, and software documentation, are amended, replaced, and sometimes reverted over time, so a question has different correct answers at different dates. In contrast to encyclopedic knowledge,…
arXiv:2608.07527v1 Announce Type: cross Abstract: Long-document understanding requires models to find and combine evidence across many pages, layouts, tables, figures, and charts. Existing retrieval-augmented systems usually select evidence from a static index before generation, …