Page History
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- Dense and sparse vectors (https://infiniflow.org/blog/best-hybrid-search-solution, https://aclanthology.org/2023.findings-acl.679.pdf)
- Hybrid Retrieval (https://arxiv.org/html/2408.05141v1, https://haystack.deepset.ai/blog/hybrid-retrieval, https://arxiv.org/pdf/1905.07129)
- Graph Emeddings (https://www.dfki.de/~declerck/semdeep-4/papers/SemDeep-4_paper_2.pdf, https://arxiv.org/pdf/1711.11231)
- Re-ranking, scoring, and filtering by fusion (https://www.elastic.co/blog/improving-information-retrieval-elastic-stack-hybrid, https://arxiv.org/pdf/2004.12832, https://arxiv.org/pdf/2009.07258)
- Integration of KG with dense vectors (https://github.com/InternLM/HuixiangDou)
- Benefits (enhance semantic understanding, contextual and structure insights, improve retrieval accuracy)
- Challenges (scalability, integration complexity) https://ragaboutit.com/how-to-build-a-jit-hybrid-graph-rag-with-code-tutorial/
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- Definition
- KG + LLM for Interpretability https://arxiv.org/html/2306.08302v3
- Analysis of https://github.com/zjukg/KG-LLM-Papers?tab=readme-ov-file#resources-and-benchmarking
- Overview of methods for LLM probing probing https://ar5iv.labs.arxiv.org/html/2309.01029
- KG Alignment
- KG-guided Explanation Generation
- Factuality and Verification https://arxiv.org/abs/2404.00942
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