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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 201–250 of 671 papers

TitleStatusHype
mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge GraphsCode1
Understanding Differential Search Index for Text RetrievalCode1
Rethinking Benchmarks for Cross-modal Image-text RetrievalCode1
Benchmarking Robustness of Multimodal Image-Text Models under Distribution ShiftCode1
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip RetrievalCode1
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense CaptionerCode1
Cross-modal Contrastive Learning for Speech TranslationCode1
Global and Local Semantic Completion Learning for Vision-Language Pre-trainingCode1
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image RecognitionCode1
CLIP-Lite: Information Efficient Visual Representation Learning with Language SupervisionCode1
Multimodal Federated Learning via Contrastive Representation EnsembleCode1
Multimodal Learned Sparse Retrieval with Probabilistic Expansion ControlCode1
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
GOAL: Global-local Object Alignment LearningCode1
Rethink Training of BERT Rerankers in Multi-Stage Retrieval PipelineCode1
Nearest Neighbor Normalization Improves Multimodal RetrievalCode1
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language TransformersCode1
Video-Text Pre-training with Learned RegionsCode1
Generative Multi-hop RetrievalCode1
ALIP: Adaptive Language-Image Pre-training with Synthetic CaptionCode1
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency BenefitsCode1
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust LearningCode1
CoSMo: Content-Style Modulation for Image Retrieval With Text FeedbackCode1
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based SearchCode1
On Metric Learning for Audio-Text Cross-Modal RetrievalCode1
Eye-gaze Guided Multi-modal Alignment for Medical Representation LearningCode1
Fast and Light-Weight Answer Text Retrieval in Dialogue SystemsCode1
ComCLIP: Training-Free Compositional Image and Text MatchingCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
MLLMs-Augmented Visual-Language Representation LearningCode1
FuseCap: Leveraging Large Language Models for Enriched Fused Image CaptionsCode1
Learning Video Context as Interleaved Multimodal SequencesCode1
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning NetworkCode1
Composing Object Relations and Attributes for Image-Text MatchingCode1
Helping Hands: An Object-Aware Ego-Centric Video Recognition ModelCode1
GLEN: Generative Retrieval via Lexical Index LearningCode1
Consensus-Aware Visual-Semantic Embedding for Image-Text MatchingCode1
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation LearningCode1
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
ProCIS: A Benchmark for Proactive Retrieval in ConversationsCode0
Attacking Attention of Foundation Models Disrupts Downstream TasksCode0
Pre-trained Language Models Can be Fully Zero-Shot LearnersCode0
ATRI: Mitigating Multilingual Audio Text Retrieval Inconsistencies by Reducing Data Distribution ErrorsCode0
Partial Scene Text RetrievalCode0
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated ImagesCode0
FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysisCode0
OTE: Exploring Accurate Scene Text Recognition Using One TokenCode0
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional ExpertsCode0
A Hybrid Retrieval-Generation Neural Conversation ModelCode0
Exposing and Mitigating Spurious Correlations for Cross-Modal RetrievalCode0
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