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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
Align, Adapt and Inject: Sound-guided Unified Image Generation—0
Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach—0
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval—0
A Comparative Study of Text Retrieval Models on DaReCzech—0
CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval—0
Filter & Align: Leveraging Human Knowledge to Curate Image-Text Data—0
ABC: Achieving Better Control of Multimodal Embeddings using VLMs—0
Learning Context-Adapted Video-Text Retrieval by Attending to User Comments—0
FecTek: Enhancing Term Weight in Lexicon-Based Retrieval with Feature Context and Term-level Knowledge—0
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval—0
Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning—0
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval—0
Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval—0
Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval—0
Exploring Combinations of Ontological Features and Keywords for Text Retrieval—0
Exploiting Visual Semantic Reasoning for Video-Text Retrieval—0
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval—0
LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval—0
Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning—0
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection—0
Experiments with Different Indexing Techniques for Text Retrieval tasks on Gujarati Language using Bag of Words Approach—0
Assessing Brittleness of Image-Text Retrieval Benchmarks from Vision-Language Models Perspective—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models—0
Evaluation of Deep Gaussian Processes for Text Classification—0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?—0
Are we there yet? Exploring clinical domain knowledge of BERT models—0
Establishing a Foundation for Tetun Ad-Hoc Text Retrieval: Stemming, Indexing, Retrieval, and Ranking—0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
Adversarial Retriever-Ranker for dense text retrieval—0
ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling—0
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning—0
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG—0
Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI—0
Arabic Text Mining—0
End-to-End Autoregressive Retrieval via Bootstrapping for Smart Reply Systems—0
CLIP2TV: Align, Match and Distill for Video-Text Retrieval—0
Label Smoothing for Text Mining—0
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning—0
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data—0
CEIA: CLIP-Based Event-Image Alignment for Open-World Event-Based Understanding—0
Adversarial Attack on Deep Cross-Modal Hamming Retrieval—0
C-DLSI: An Extended LSI Tailored for Federated Text Retrieval—0
Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss—0
A Proposed Conceptual Framework for a Representational Approach to Information Retrieval—0
Accept the Modality Gap: An Exploration in the Hyperbolic Space—0
Learning to embed semantic similarity for joint image-text retrieval—0
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