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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 201–225 of 671 papers

TitleStatusHype
mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge GraphsCode1
ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain RetrievalCode1
CLIP2Video: Mastering Video-Text Retrieval via Image CLIPCode1
Benchmarking Robustness of Multimodal Image-Text Models under Distribution ShiftCode1
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip RetrievalCode1
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense CaptionerCode1
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language TransformersCode1
Global and Local Semantic Completion Learning for Vision-Language Pre-trainingCode1
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image RecognitionCode1
CLIP-Lite: Information Efficient Visual Representation Learning with Language SupervisionCode1
ALIP: Adaptive Language-Image Pre-training with Synthetic CaptionCode1
Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge TransferringCode1
CoSMo: Content-Style Modulation for Image Retrieval With Text FeedbackCode1
GLEN: Generative Retrieval via Lexical Index LearningCode1
Coarse-to-Fine Vision-Language Pre-training with Fusion in the BackboneCode1
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal MappingCode1
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents IntegrationCode1
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation LearningCode1
GOAL: Global-local Object Alignment LearningCode1
SignCLIP: Connecting Text and Sign Language by Contrastive LearningCode1
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency BenefitsCode1
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust LearningCode1
Learning Video Context as Interleaved Multimodal SequencesCode1
Generative Multi-hop RetrievalCode1
Eye-gaze Guided Multi-modal Alignment for Medical Representation LearningCode1
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