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TEMPS: Temporal Sentence Embeddings for Temporal Information Retrieval

Hassani, Mourad et al.
arXiv (All) · Papers
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computation-and-language
Modern information retrieval (IR) systems rarely represent time, yet many information needs depend on it: in clinical, journalistic, and legal search, when an event occurred can decide whether a document is relevant. Dense retrievers and Retrieval-Augmented Generation (RAG) pipelines match queries t
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