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English(EN) RAP: A Dataset for Paper-to-Poster Generation via Declarative Markup from Human-Crafted Exemplars

新数据集RAP使AI能够从论文生成会议海报

研究人员推出了RAP,这是一个新的数据集和基准,旨在从学术论文生成会议海报。该数据集包含超过25,000个经过验证的论文-海报对,并带有内容分类法的注释,还包括一个包含150篇测试论文及其对应的人工创建海报的基准集。RAP将论文到海报的生成作为一个视觉编码任务来促进,支持PosterRAG等检索式方法以及强化学习的监督微调。 AI

影响 该数据集可以加速对能够执行复杂视觉摘要和设计任务的AI系统的研究。

排序理由 该集群描述了一个用于特定AI任务(论文到海报生成)的新数据集和基准。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新数据集RAP使AI能够从论文生成会议海报

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
该集群描述了一个用于特定AI任务(论文到海报生成)的新数据集和基准。
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
paper, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
3 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    RAP:通过人类精心制作示例的声明式标记实现论文到海报生成的Jason

    RAP introduces a large-scale dataset and benchmark for generating conference posters from papers as a visual coding task, providing verified paper-poster-markup triplets and both retrieval-based and trained generation methods.

  2. arXiv cs.CV TIER_1 English(EN) · Haonan Han, Yukang Lin, Minliang Lin, Haoxian Tan, Jun-Yan He, Rui Yang, Zhi-Qi Cheng, Jie Hu, Guanglu Wan, Xiu Li ·

    RAP:通过人类精心制作示例的声明式标记实现论文到海报生成的基准数据集

    arXiv:2610.23230v1 Announce Type: new Abstract: Making a conference poster is visual coding in miniature: an entire paper must be compressed onto a single page, which exercises summarization, visual design, and code implementation at once, using nothing beyond the paper itself. Y…