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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 31–40 of 671 papers

TitleStatusHype
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsCode2
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsCode2
Dense Text Retrieval based on Pretrained Language Models: A SurveyCode2
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse RepresentationsCode2
A Replication Study of Dense Passage RetrieverCode2
Distillation Enhanced Generative RetrievalCode2
AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language ModelsCode2
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality InversionCode2
Cross-lingual and Multilingual CLIPCode2
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