AF-Retriever delivers state-of-the-art zero- and one-shot results on three STaRK QA benchmarks by using LLM extraction, vector similarity, incremental scope expansion, and hybrid retrieval.
Mixture of structural-and-textual retrieval over text-rich graph knowledge bases
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Autofocus Retrieval: An Effective Pipeline for Multi-Hop Question Answering With Semi-Structured Knowledge
AF-Retriever delivers state-of-the-art zero- and one-shot results on three STaRK QA benchmarks by using LLM extraction, vector similarity, incremental scope expansion, and hybrid retrieval.