Bridging Intuitive Associations and Deliberate Recall: Empowering LLM Personal Assistant with Graph-Structured Long-term Memory (2025.findings-acl)
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| Challenge: | Large language models (LLMs)-based personal assistants struggle to capture entity relationships and handle multiple intents effectively. |
| Approach: | They propose a graph-structured memory framework that mimics human cognitive processes and an event-centric memory graph. |
| Outcome: | The proposed framework outperforms retrieval and QA methods across long-term dialogue benchmarks and enables more human-like memory systems. |
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