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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 251–300 of 671 papers

TitleStatusHype
Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesCode0
A Hybrid Retrieval-Generation Neural Conversation ModelCode0
Exposing and Mitigating Spurious Correlations for Cross-Modal RetrievalCode0
Symmetric Multi-Similarity Loss for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2024Code0
Exploiting Positional Bias for Query-Agnostic Generative Content in SearchCode0
Shallow Cross-Encoders for Low-Latency RetrievalCode0
Single Shot Scene Text RetrievalCode0
Explaining Text Similarity in Transformer ModelsCode0
Semantic-Preserving Augmentation for Robust Image-Text RetrievalCode0
Expertized Caption Auto-Enhancement for Video-Text RetrievalCode0
Single-Stream Multi-Level Alignment for Vision-Language PretrainingCode0
Rudder: A Cross Lingual Video and Text Retrieval DatasetCode0
ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase GenerationCode0
Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageCode0
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest NeighborsCode0
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense RetrievalCode0
Enhancing Image-Text Matching with Adaptive Feature AggregationCode0
Image Chat: Engaging Grounded ConversationsCode0
Retrieval Augmentation for Deep Neural NetworksCode0
Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text RetrievalCode0
Embracing Language Inclusivity and Diversity in CLIP through Continual Language LearningCode0
Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-TuningCode0
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectivesCode0
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late InteractionCode0
Sparse, Dense, and Attentional Representations for Text RetrievalCode0
Pre-trained Language Models Can be Fully Zero-Shot LearnersCode0
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional ExpertsCode0
Partial Scene Text RetrievalCode0
On Using GUI Interaction Data to Improve Text Retrieval-based Bug LocalizationCode0
Diving Deep into the Motion Representation of Video-Text ModelsCode0
OTE: Exploring Accurate Scene Text Recognition Using One TokenCode0
ProCIS: A Benchmark for Proactive Retrieval in ConversationsCode0
Neurocache: Efficient Vector Retrieval for Long-range Language ModelingCode0
Dissecting Deep Metric Learning Losses for Image-Text RetrievalCode0
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote SensingCode0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News RecommendationCode0
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrievalCode0
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal EmbeddingsCode0
Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Multi-stage Pre-training over Simplified Multimodal Pre-training ModelsCode0
Object-Aware Query Perturbation for Cross-Modal Image-Text RetrievalCode0
Design of the topology for contrastive visual-textual alignmentCode0
A Binary Variational Autoencoder for HashingCode0
Denoising Table-Text Retrieval for Open-Domain Question AnsweringCode0
Adding simple structure at inference improves Vision-Language CompositionalityCode0
BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image RetrievalCode0
DeepTileBars: Visualizing Term Distribution for Neural Information RetrievalCode0
Multilingual Vision-Language Pre-training for the Remote Sensing DomainCode0
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention RecyclingCode0
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