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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 91–100 of 671 papers

TitleStatusHype
Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval—0
DIR: Retrieval-Augmented Image Captioning with Comprehensive Understanding—0
Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignment—0
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectivesCode0
AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language ModelsCode2
Knowledge Transfer Across Modalities with Natural Language Supervision—0
Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval—0
Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training—0
A Comparative Study of Text Retrieval Models on DaReCzech—0
A Survey of Medical Vision-and-Language Applications and Their TechniquesCode1
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