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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 226–250 of 671 papers

TitleStatusHype
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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