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Hugging Face Trending Papers

CreaMem: A Scene-Aware Memory Architecture for Personalized Agents

Read the original on Hugging Face Trending Papers →

The paper introduces CreaMem, a scene-aware memory architecture for personalized large language model agents. It partitions long-term memory into distinct Life Scene Memories to reduce cross-scene interference and encodes each memory from both episodic and trait-based perspectives to enable cross-memory synergy. Experiments on two benchmarks demonstrate that CreaMem improves question-answering accuracy, especially in multi-hop reasoning tasks.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at Hugging Face Trending Papers.

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