SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 671 papers

TitleStatusHype
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation—0
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction—0
FecTek: Enhancing Term Weight in Lexicon-Based Retrieval with Feature Context and Term-level Knowledge—0
TEXT2TASTE: A Versatile Egocentric Vision System for Intelligent Reading Assistance Using Large Language Model—0
Learning with Noisy Correspondence—0
HaVTR: Improving Video-Text Retrieval Through Augmentation Using Large Foundation Models—0
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement—0
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language ModelsCode3
Shallow Cross-Encoders for Low-Latency RetrievalCode0
ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringCode1
Denoising Table-Text Retrieval for Open-Domain Question AnsweringCode0
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
Improving Retrieval for RAG based Question Answering Models on Financial Documents—0
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsCode2
vid-TLDR: Training Free Token merging for Light-weight Video TransformerCode2
Eye-gaze Guided Multi-modal Alignment for Medical Representation LearningCode1
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryCode1
LuoJiaHOG: A Hierarchy Oriented Geo-aware Image Caption Dataset for Remote Sensing Image-Text Retrival—0
Refining Knowledge Transfer on Audio-Image Temporal Agreement for Audio-Text Cross Retrieval—0
Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction—0
Multiscale Matching Driven by Cross-Modal Similarity Consistency for Audio-Text Retrieval—0
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text RetrievalCode2
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?—0
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality TeachersCode4
Multimodal Learned Sparse Retrieval with Probabilistic Expansion ControlCode1
Show:102550
← PrevPage 9 of 27Next →

No leaderboard results yet.