1 link tagged with all of: memory + hypergraph + sense-making + llm
Click any tag below to further narrow down your results
Links
HGMem is a framework that improves the ability of large language models to tackle sense-making questions by using hypergraph-based memory structures. It adapts dynamically to specific questions, outperforming traditional retrieval-augmented generation (RAG) methods when direct answers aren't available in documents.