Narrative-Driven Paper-to-Slide Generation via ArcDeck
We introduce ArcDeck, a multi-agent framework that formulates paper-to-slide generation as a structured narrative reconstruction task. Unlike existing methods that directly summarize raw text into slides, ArcDeck explicitly models the source paper's logical flow. It first parses the input to construct a discourse tree and establish a global commitment document, ensuring the high-level intent is preserved. These structural priors then guide an iterative multi-agent refinement process, where specialized agents iteratively critique and revise the presentation outline before rendering the final visual layouts and designs. To evaluate our approach, we also introduce ArcBench, a newly curated benchmark of academic paper-slide pairs. Experimental results demonstrate that explicit discourse modeling, combined with role-specific agent coordination, significantly improves the narrative flow and logical coherence of the generated presentations.
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Tarik Can Ozden
69dfbefaff9be6e7474845da
Sachidanand VS
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Furkan Horoz
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Ozgur Kara
69dfbefaff9be6e7474845dd
Junho Kim
69dfbefaff9be6e7474845de
James Matthew Rehg
Narrative-Driven Paper-to-Slide Generation via ArcDeck
We introduce ArcDeck, a multi-agent framework that formulates paper-to-slide generation as a structured narrative reconstruction task. Unlike existing methods that directly summarize raw text into slides, ArcDeck explicitly models the source paper's logical flow. It first parses the input to construct a discourse tree and establish a global commitment document, ensuring the high-level intent is preserved. These structural priors then guide an iterative multi-agent refinement process, where specialized agents iteratively critique and revise the presentation outline before rendering the final visual layouts and designs. To evaluate our approach, we also introduce ArcBench, a newly curated benchmark of academic paper-slide pairs. Experimental results demonstrate that explicit discourse modeling, combined with role-specific agent coordination, significantly improves the narrative flow and logical coherence of the generated presentations.
ArcDeck is a multi-agent framework that enhances paper-to-slide generation by modeling logical flow through discourse trees and iterative agent refinement, outperforming direct summarization methods.
multi-agent framework discourse tree global commitment document iterative multi-agent refinement narrative reconstruction