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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 121–130 of 671 papers

TitleStatusHype
DiffATR: Diffusion-based Generative Modeling for Audio-Text Retrieval—0
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training—0
ReCLAP: Improving Zero Shot Audio Classification by Describing SoundsCode1
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG—0
Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations—0
Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5—0
MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation FunctionsCode0
Mistral-SPLADE: LLMs for better Learned Sparse RetrievalCode0
Improving embedding with contrastive fine-tuning on small datasets with expert-augmented scores—0
NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality—0
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