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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 301–310 of 671 papers

TitleStatusHype
Establishing a Foundation for Tetun Ad-Hoc Text Retrieval: Stemming, Indexing, Retrieval, and Ranking—0
jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images—0
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses—0
Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning—0
VladVA: Discriminative Fine-tuning of LVLMs—0
Linq-Embed-Mistral Technical Report—0
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
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