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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 51–60 of 671 papers

TitleStatusHype
A Replication Study of Dense Passage RetrieverCode2
Cross-lingual and Multilingual CLIPCode2
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsCode2
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific LiteratureCode2
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document ReasoningCode2
AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language ModelsCode2
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open WorldCode2
Dense Text Retrieval based on Pretrained Language Models: A SurveyCode2
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine LearningCode2
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