arXiv 2610.23230 · cs.CV · 2026-10-16
RAP: A Dataset for Paper-to-Poster Generation via Declarative Markup from Human-Crafted Exemplars
Haonan Han, Yukang Lin, Minliang Lin, Haoxian Tan, Jun-Yan He, Rui Yang, Zhi-Qi Cheng, Jie Hu 等 10 人
meituan
在最新榜 #283 本站收录于 2026-10-22
一句话要点
RAP 数据集收录 2.5 万多对论文与海报，把海报还原成可渲染比对的 HTML/CSS，用于论文转海报生成。
RAP pairs 25K+ papers with posters derendered into HTML/CSS slots, enabling render-and-compare evaluation of paper-to-poster generation.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题：评测与数据
- PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews ▲727
- OR-License: Evaluating LLM Agents as Real-World Operations Research Practitioners ▲291
- RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations ▲287
- GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay ▲73
- More Choices, Fewer Decisions: Ordinal-Scale Bias in JEV-like Direct-Decision Models ▲65
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。