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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 21–30 of 671 papers

TitleStatusHype
GLAP: General contrastive audio-text pretraining across domains and languagesCode2
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsCode2
Egocentric Video-Language PretrainingCode2
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsCode2
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model EvaluationCode2
AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language ModelsCode2
VeCLIP: Improving CLIP Training via Visual-enriched CaptionsCode2
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
Gramian Multimodal Representation Learning and AlignmentCode2
Accelerating Transformers with Spectrum-Preserving Token MergingCode2
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