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Text Matching

Matching a target text to a source text based on their meaning.

Papers

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Showing 201–250 of 364 papers

TitleStatusHype
The Short Text Matching Model Enhanced with Knowledge via Contrastive Learning—0
Multi-Modal Representation Learning with Text-Driven Soft Masks—0
Probabilistic Prompt Learning for Dense Prediction—0
A Measurement-Based Quantum-Like Language Model for Text Matching—0
Integrating Language Guidance Into Image-Text Matching for Correcting False NegativesCode0
Increasing Textual Context Size Boosts Medical Image-Text MatchingCode0
Refined Vision-Language Modeling for Fine-grained Multi-modal Pre-training—0
Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching—0
Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes KnowledgeCode0
Unified Vision-Language Representation Modeling for E-Commerce Same-Style Products Retrieval—0
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval—0
Improving Zero-Shot Action Recognition using Human Instruction with Text Description—0
ShapeScaffolder: Structure-Aware 3D Shape Generation from Text—0
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension—0
VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching—0
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency—0
Multimodal Matching-aware Co-attention Networks with Mutual Knowledge Distillation for Fake News Detection—0
Uniform Masking Prevails in Vision-Language Pretraining—0
SimVTP: Simple Video Text Pre-training with Masked AutoencodersCode0
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers—0
UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance—0
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?Code0
Dissecting Deep Metric Learning Losses for Image-Text RetrievalCode0
Law Article-Enhanced Legal Case Matching: a Causal Learning ApproachCode0
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems—0
Adaptive Feature Discrimination and Denoising for Asymmetric Text Matching—0
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text—0
Random Text Perturbations Work, but not AlwaysCode0
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and RetrievalCode0
Don't Stop Learning: Towards Continual Learning for the CLIP Model—0
SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder—0
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval—0
Delving into the Openness of CLIPCode0
GR-GAN: Gradual Refinement Text-to-image GenerationCode0
TextMatcher: Cross-Attentional Neural Network to Compare Image and Text—0
HumanAL: Calibrating Human Matching Beyond a Single Task—0
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer—0
Adaptable Text Matching via Meta-Weight Regulator—0
Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations—0
Modality-Balanced Embedding for Video Retrieval—0
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt LearningCode0
DT2I: Dense Text-to-Image Generation from Region Descriptions—0
Leveraging Search History for Improving Person-Job Fit—0
Two-stream Hierarchical Similarity Reasoning for Image-text Matching—0
Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes—0
Context Enhanced Short Text Matching using Clickthrough Data—0
Dual Embodied-Symbolic Concept Representations for Deep Learning—0
Semantic Matching from Different PerspectivesCode0
Unpaired Referring Expression Grounding via Bidirectional Cross-Modal Matching—0
Probing the Role of Positional Information in Vision-Language Models—0
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