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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 451–500 of 671 papers

TitleStatusHype
Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection—0
Towards a Visual-Language Foundation Model for Computational Pathology—0
Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning—0
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP—0
Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesCode0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible AdapterCode0
MSVD-Indonesian: A Benchmark for Multimodal Video-Text Tasks in IndonesianCode0
Align, Adapt and Inject: Sound-guided Unified Image Generation—0
Integrating Listwise Ranking into Pairwise-based Image-Text RetrievalCode0
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest NeighborsCode0
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional ExpertsCode0
When the Music Stops: Tip-of-the-Tongue Retrieval for MusicCode0
i-Code Studio: A Configurable and Composable Framework for Integrative AI—0
VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending—0
TOME: A Two-stage Approach for Model-based Retrieval—0
Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval—0
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception—0
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining—0
Is Cross-modal Information Retrieval Possible without Training?—0
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report—0
RECLIP: Resource-efficient CLIP by Training with Small Images—0
Exposing and Mitigating Spurious Correlations for Cross-Modal RetrievalCode0
Free-Form Multi-Modal Multimedia Retrieval (4MR)—0
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval—0
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning—0
On-the-fly Text Retrieval for End-to-End ASR Adaptation—0
Scene Graph Based Fusion Network For Image-Text Retrieval—0
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening—0
Semantic-Preserving Augmentation for Robust Image-Text RetrievalCode0
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning—0
The style transformer with common knowledge optimization for image-text retrieval—0
Deep Learning for Video-Text Retrieval: a Review—0
Video-Text Retrieval by Supervised Sparse Multi-Grained LearningCode0
Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens—0
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval—0
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text RetrievalCode0
HADA: A Graph-based Amalgamation Framework in Image-text RetrievalCode0
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal EmbeddingsCode0
ViLEM: Visual-Language Error Modeling for Image-Text Retrieval—0
Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval—0
Lecture Presentations Multimodal Dataset: Towards Understanding Multimodality in Educational Videos—0
HiVLP: Hierarchical Interactive Video-Language Pre-Training—0
Multilateral Semantic Relations Modeling for Image Text Retrieval—0
GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks—0
VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching—0
When are Lemons Purple? The Concept Association Bias of Vision-Language Models—0
Efficient Image Captioning for Edge Devices—0
AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data AugmentationCode0
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