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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 426–450 of 671 papers

TitleStatusHype
Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval—0
DIR: Retrieval-Augmented Image Captioning with Comprehensive Understanding—0
VladVA: Discriminative Fine-tuning of LVLMs—0
Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation—0
Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation—0
DLIP: Distilling Language-Image Pre-training—0
Do Audio-Language Models Understand Linguistic Variations?—0
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents—0
Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval—0
Dual Relation Alignment for Composed Image Retrieval—0
Dynamic Contrastive Distillation for Image-Text Retrieval—0
EA-VTR: Event-Aware Video-Text Retrieval—0
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling—0
Efficient Image Captioning for Edge Devices—0
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening—0
Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss—0
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data—0
End-to-End Autoregressive Retrieval via Bootstrapping for Smart Reply Systems—0
Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI—0
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG—0
Establishing a Foundation for Tetun Ad-Hoc Text Retrieval: Stemming, Indexing, Retrieval, and Ranking—0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
Evaluation of Deep Gaussian Processes for Text Classification—0
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
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