[KongchangAI]
Concept

Query2doc

An LLM-based query expansion method that expands query semantics by prompting a language model to generate relevant short passages from the original query, thereby improving recall in information retrieval.

Timeline (last 90 days)

Oct 12

SAFE-QE injects only 4.3 unsupported terms per query, compared to 27.8 for Query2doc and 57.5 for HyDE.

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Oct 12

Query2doc achieves LLM-based query expansion by generating short paragraphs, while HyDE does so by generating hypothetical documents.

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