✨Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling
📝 Summary:
Existing multi-step RAG memory limits reasoning by storing isolated facts and neglecting high-order correlations. HGMem proposes a hypergraph-based memory that dynamically forms higher-order interactions, creating an integrated knowledge structure. This approach significantly improves multi-step ...
🔹 Publication Date: Published on Dec 30, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23959
• PDF: https://arxiv.org/pdf/2512.23959
• Github: https://github.com/Encyclomen/HGMem
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#RAG #Hypergraphs #NLP #AI #LLM
📝 Summary:
Existing multi-step RAG memory limits reasoning by storing isolated facts and neglecting high-order correlations. HGMem proposes a hypergraph-based memory that dynamically forms higher-order interactions, creating an integrated knowledge structure. This approach significantly improves multi-step ...
🔹 Publication Date: Published on Dec 30, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23959
• PDF: https://arxiv.org/pdf/2512.23959
• Github: https://github.com/Encyclomen/HGMem
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#RAG #Hypergraphs #NLP #AI #LLM