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- added research highlights in readme file
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</p> </p>
</div> </div>
## 🔥 Research Highlights
CORE memory achieves **88.24%** average accuracy in Locomo dataset across all reasoning tasks, significantly outperforming other memory providers. Technical Report will be published soon!
<img width="6048" height="3428" alt="benchmark" src="https://github.com/user-attachments/assets/2e5fdac5-02ed-4d00-9312-c21d09974e1f" />
(1) Single-hop questions require answers based on a single session; (2) Multi-hop questions require synthesizing information from multiple different sessions; (3) Open-domain knowledge questions can be answered by integrating a speaker’s provided information with external knowledge such as commonsense or world facts; (4) Temporal reasoning questions can be answered through temporal reasoning and capturing time-related data cues within the conversation;
## Overview ## Overview
**Problem** **Problem**
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![core-linear-claude](https://github.com/user-attachments/assets/7d59d92b-8c56-4745-a7ab-9a3c0341aa32) ![core-linear-claude](https://github.com/user-attachments/assets/7d59d92b-8c56-4745-a7ab-9a3c0341aa32)
## Documentation ## Documentation
Explore our documentation to get the most out of CORE Explore our documentation to get the most out of CORE
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