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Text Retrieval

Text Retrieval is the task of finding the most text result (such as an answer, paragraph, or passage) given a query (which could be a question, keywords, or any relevant text)

Papers

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Showing 551–560 of 671 papers

TitleStatusHype
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval—0
Neural document expansion for ad-hoc information retrieval—0
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training—0
NLIP: Noise-robust Language-Image Pre-training—0
Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5—0
Noisy Pair Corrector for Dense Retrieval—0
NOMAD: Linguistic Resources and Tools Aimed at Policy Formulation and Validation—0
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks—0
On Negative Sampling for Contrastive Audio-Text Retrieval—0
On Reducing the Number of Visual Words in the Bag-of-Features Representation—0
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