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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 76–100 of 671 papers

TitleStatusHype
Fine-Tuning LLaMA for Multi-Stage Text RetrievalCode1
Benchmarking Robustness of Multimodal Image-Text Models under Distribution ShiftCode1
mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge GraphsCode1
Fast and Light-Weight Answer Text Retrieval in Dialogue SystemsCode1
Extending Multi-modal Contrastive RepresentationsCode1
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive LearningCode1
Coarse-to-Fine Vision-Language Pre-training with Fusion in the BackboneCode1
Eye-gaze Guided Multi-modal Alignment for Medical Representation LearningCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical AlignmentCode1
Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and DataCode1
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalCode1
A Comprehensive Review of the Video-to-Text ProblemCode1
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision ModelsCode1
Bridging Language Gaps in Audio-Text RetrievalCode1
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware SamplingCode1
Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive TrainingCode1
A Prior Instruction Representation Framework for Remote Sensing Image-text RetrievalCode1
A Dense Representation Framework for Lexical and Semantic MatchingCode1
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense CaptionerCode1
Bridging Video-text Retrieval with Multiple Choice QuestionsCode1
ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringCode1
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency BenefitsCode1
CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information RetrievalCode1
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue DatasetCode1
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