English(EN) ConvDeck: Conversational Paper-to-Slide Generation via Stage-Specific User Feedback

ConvDeck系统通过迭代反馈简化了学术论文到幻灯片的生成过程

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

研究人员开发了ConvDeck，这是一个新颖的多智能体系统，旨在改进将学术论文转换为幻灯片演示文稿的过程。与限制用户交互或仅在生成完整牌组后应用反馈的先前方法不同，ConvDeck在整个生成流程中迭代地整合用户反馈。这种分阶段的对话方法允许用户在最相关的节点上优化演示文稿大纲和幻灯片内容，从而提高用户满意度、叙事连贯性和整体演示文稿质量。 AI

影响该系统可以显著减少研究人员从论文创建演示文稿所需的时间和精力。

排序理由该集群描述了一篇详细介绍用于学术论文到幻灯片生成的新颖系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 30 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群描述了一篇详细介绍用于学术论文到幻灯片生成的新颖系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, product, infra; 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: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Tarik Can Ozden, Sachidanand VS, Furkan Horoz, Ozgur Kara, Dilek Hakkani-T\"ur, Junho Kim, James Matthew Rehg · 2026-09-02 04:00

ConvDeck：通过特定阶段的用户反馈实现对话式论文到幻灯片生成

arXiv:2609.00226v1 Announce Type: new Abstract: Automatic academic paper-to-slide generation is inherently iterative, because creating an effective presentation requires repeated cycles of generation, critique, and revision. Recent multi-agent systems partially acknowledge this t…

本文如何被排名

报道来源 [1]

ConvDeck：通过特定阶段的用户反馈实现对话式论文到幻灯片生成

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