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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 576–600 of 671 papers

TitleStatusHype
Representation Discrepancy Bridging Method for Remote Sensing Image-Text Retrieval—0
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation—0
Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment—0
Partial Scene Text RetrievalCode0
Enhancing Image-Text Matching with Adaptive Feature AggregationCode0
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional ExpertsCode0
Pre-trained Language Models Can be Fully Zero-Shot LearnersCode0
OTE: Exploring Accurate Scene Text Recognition Using One TokenCode0
GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language ModelsCode0
ProCIS: A Benchmark for Proactive Retrieval in ConversationsCode0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
Which Country Is This? Automatic Country Ranking of Street View PhotosCode0
Attacking Attention of Foundation Models Disrupts Downstream TasksCode0
On Using GUI Interaction Data to Improve Text Retrieval-based Bug LocalizationCode0
Object-Aware Query Perturbation for Cross-Modal Image-Text RetrievalCode0
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News RecommendationCode0
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired DatasetCode0
A Hybrid Retrieval-Generation Neural Conversation ModelCode0
ATRI: Mitigating Multilingual Audio Text Retrieval Inconsistencies by Reducing Data Distribution ErrorsCode0
Neurocache: Efficient Vector Retrieval for Long-range Language ModelingCode0
Image Chat: Engaging Grounded ConversationsCode0
Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-TuningCode0
Text Retrieval with Multi-Stage Re-Ranking ModelsCode0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysisCode0
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