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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 301–350 of 671 papers

TitleStatusHype
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive LearningCode0
MHSAN: Multi-Head Self-Attention Network for Visual Semantic EmbeddingCode0
Variational Deep Semantic Hashing for Text DocumentsCode0
Shallow Cross-Encoders for Low-Latency RetrievalCode0
VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language ModelsCode0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
Integrating Listwise Ranking into Pairwise-based Image-Text RetrievalCode0
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired DatasetCode0
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric LearningCode0
Single Shot Scene Text RetrievalCode0
Single-Stream Multi-Level Alignment for Vision-Language PretrainingCode0
NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal EmbeddingsCode0
Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageCode0
Sparse, Dense, and Attentional Representations for Text RetrievalCode0
HADA: A Graph-based Amalgamation Framework in Image-text RetrievalCode0
Intra-Modal Constraint Loss For Image-Text RetrievalCode0
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated ImagesCode0
Video-Text Retrieval by Supervised Sparse Multi-Grained LearningCode0
It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug ReportsCode0
MeTA: A Unified Toolkit for Text Retrieval and AnalysisCode0
Corpus-Level End-to-End Exploration for Interactive SystemsCode0
Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesCode0
Design of the topology for contrastive visual-textual alignmentCode0
MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation FunctionsCode0
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named EntitiesCode0
Modelling Stopping Criteria for Search Results using Poisson ProcessesCode0
ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase GenerationCode0
Symmetric Multi-Similarity Loss for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2024Code0
Large Vision-Language Models for Knowledge-Grounded Data Annotation of MemesCode0
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval TaskCode0
A Binary Variational Autoencoder for HashingCode0
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval—0
Webly Supervised Joint Embedding for Cross-Modal lmage-Text Retrieval—0
What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way—0
When are Lemons Purple? The Concept Association Bias of Vision-Language Models—0
Word Searching in Scene Image and Video Frame in Multi-Script Scenario using Dynamic Shape Coding—0
XGPT: Cross-modal Generative Pre-Training for Image Captioning—0
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representation—0
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations—0
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning—0
Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes—0
Toward Automatic Relevance Judgment using Vision--Language Models for Image--Text Retrieval Evaluation—0
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations—0
Towards Cross-modal Retrieval in Chinese Cultural Heritage Documents: Dataset and Solution—0
ABC: Achieving Better Control of Multimodal Embeddings using VLMs—0
ABC-SG: A New Artificial Bee Colony Algorithm-Based Distance of Sequential Data Using Sigma Grams—0
Accept the Modality Gap: An Exploration in the Hyperbolic Space—0
ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling—0
A Comparative Study of Text Retrieval Models on DaReCzech—0
Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples—0
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