Paper
LLMs & Texto
MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision
MemSlides presents a hierarchical memory framework for personalized presentation agents that separates long-term user profiles, working memory for session constraints, and tool mem…
Hugging Face · Daily Papers
·Ye Jin, Yangyang Xu
·
·▲ 14 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Ye Jin, Yangyang Xu, Jun Zhu, Yibo Yang
- 14 upvotes da comunidade
- Temas: personalized presentation agents, hierarchical memory framework, long-term memory, working memory, user profile memory, tool memory
Resumo
Resumo original (em inglês), extraído do paper:
MemSlides presents a hierarchical memory framework for personalized presentation agents that separates long-term user profiles, working memory for session constraints, and tool memory for reusable execution experiences to enable stable personalization and reliable local edits across multi-turn revisions.
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