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News/Temporal Preference Optimization for Unsupervised Retrieval
arxiv
PublishedJune 17, 2026 at 4:00 AM
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Temporal Preference Optimization for Unsupervised Retrieval

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arXiv:2606.17664v1 Announce Type: cross Abstract: Unsupervised dense retrievers offer scalability by learning semantic similarity from unlabeled documents via contrastive learning, but they struggle to capture the temporal relevance, retrieving semantically related but temporally misaligned document

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