Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising

Researchers introduce SPIRE, a framework for page-level slide personalization that uses inverse planning and multi-agent reinforcement learning to learn design intents. This approach aims to improve the fine-grained design capabilities of AI agents in slide generation.

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