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hyde reviews and mentions
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Show HN: Hacker Search â A semantic search engine for Hacker News
HyDE apparently means âHypothetical Document Embeddingsâ, which seems to be a kind of generative query expansion/pre-processing
https://arxiv.org/abs/2212.10496
https://github.com/texttron/hyde
From the abstract:
Given a query, HyDE first zero-shot instructs an instruction-following language model (e.g. InstructGPT) to generate a hypothetical document. The document captures relevance patterns but is unreal and may contain false details. Then, an unsupervised contrastively learned encoder~(e.g. Contriever) encodes the document into an embedding vector. This vector identifies a neighborhood in the corpus embedding space, where similar real documents are retrieved based on vector similarity. This second step ground the generated document to the actual corpus, with the encoder's dense bottleneck filtering out the incorrect details.
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Meet HyDE: An Effective Fully Zero-Shot Dense Retrieval Systems That Require No Relevance Supervision, Works Out-of-Box, And Generalize Across Tasks
Quick Read: https://www.marktechpost.com/2023/01/23/meet-hyde-an-effective-fully-zero-shot-dense-retrieval-systems-that-require-no-relevance-supervision-works-out-of-box-and-generalize-across-tasks/ Paper: https://arxiv.org/pdf/2212.10496.pdf Github: https://github.com/texttron/hyde
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The primary programming language of hyde is Jupyter Notebook.
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