MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision
Quick Answer
MemSlides introduces a hierarchical memory framework for personalized presentation generation, enhancing user preference retention and localized editing.
Quick Take
It separates long-term memory into user profile and tool memory, improving persona alignment and modification behavior in experiments, suggesting effective personalization relies on distinct memory types.
Key Points
- MemSlides separates long-term memory into user profile and tool memory for better personalization.
- Working memory retains active preferences across multi-turn revisions for reliable edits.
- Controlled experiments show improved persona alignment and modification behavior.
- Localized updates target specific slide areas instead of regenerating entire decks.
- Effective presentation authoring relies on distinct memory types for user preferences.
Paper Resources
Source Excerpt
arXiv:2606. 17162v1 Announce Type: new Abstract: Personalized presentation generation requires more than conditioning on a current prompt or template: agents must preserve stable user preferences across tasks, retain newly introduced preferences and constraints during multi-turn revision, and carry out local edits reliably.
We propose MemSlides, a hierarchical memory framework for personalized presentation agents that separates long-term memory from working memory and further divides long-term memory into user profile memory and tool memory. …
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