Supervised bi-encoder retrievers encode document-level relevance priors from annotation biases, producing a findability gap for documents lacking favored features such as comprehensiveness and mainstream topic coverage.
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Do Neural Retrievers Prefer Certain Documents? Evidence of Learned Relevance Priors
Supervised bi-encoder retrievers encode document-level relevance priors from annotation biases, producing a findability gap for documents lacking favored features such as comprehensiveness and mainstream topic coverage.