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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
Multi-Head Attention Driven Dynamic Visual-Semantic Embedding for Enhanced Image-Text Matching—0
Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text RetrievalCode0
Where am I? Cross-View Geo-localization with Natural Language DescriptionsCode2
PolySmart @ TRECVid 2024 Medical Video Question Answering—0
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval—0
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question AnsweringCode0
I0T: Embedding Standardization Method Towards Zero Modality GapCode1
CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information RetrievalCode1
Establishing a Foundation for Tetun Ad-Hoc Text Retrieval: Stemming, Indexing, Retrieval, and Ranking—0
Gramian Multimodal Representation Learning and AlignmentCode2
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
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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