Problem
Research questions and friction points this paper is trying to address.
iterative refinement
user feedback
presentation generation
academic paper-to-slide
conversational interaction
ConvDeck: Conversational Paper-to-Slide Generation via Stage-Specific User Feedback
🤖 AI Summary
ConvDeck通过阶段特定的用户反馈解决学术论文转幻灯片过程中的迭代改进问题，使用多代理管道让用户在不同阶段参与细化提纲和最终幻灯片。
📝 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 through internal critique-and-revise loops, while conversational approaches allow users to refine generated slide decks through dialog. However, these refinement processes either remain largely closed to the user or introduce feedback only after a complete deck has been produced, limiting the user's ability to participate in the iterative refinement of narrative flow, content allocation, and presentation emphasis. To address this gap, we introduce ConvDeck, a multi-agent pipeline for conversational paper-to-slide generation that distributes interaction across the pipeline through stage-specific loops, allowing users to iteratively refine both the presentation outline and the final slide deck at the stages where each kind of decision is made. These loops are driven by a refinement mechanism in which agents can think, speak, and act, enabling them to either directly apply edits or respond conversationally to clarify user feedback and discuss revision options. Our evaluation shows that stage-specific conversational feedback improves user-goal satisfaction while preserving narrative coherence, content quality, and visual presentation.
Innovation
Methods, ideas, or system contributions that make the work stand out.
stage-specific feedback
conversational refinement
multi-agent pipeline
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