作者位次 #2/3ACL 2026Findings· Findings of ACL
U n I te: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval
Jongyoon Kim · Minseong Hwang · seung-won hwang
摘要
Unsupervised domain adaptation generalizes neural retrievers to an unseen domain by generating pseudo queries on target domain documents. The quality and efficiency of this adaptation critically depend on which documents are selected for pseudo query generation. The existing document sampling met...