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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 651–671 of 671 papers

TitleStatusHype
Sparse, Dense, and Attentional Representations for Text RetrievalCode0
Corpus-Level End-to-End Exploration for Interactive SystemsCode0
When the Music Stops: Tip-of-the-Tongue Retrieval for MusicCode0
Integrating Listwise Ranking into Pairwise-based Image-Text RetrievalCode0
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named EntitiesCode0
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval TaskCode0
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive LearningCode0
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectivesCode0
Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesCode0
BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image RetrievalCode0
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical AlterationsCode0
ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase GenerationCode0
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest NeighborsCode0
Symmetric Multi-Similarity Loss for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2024Code0
A Vision-Language Foundation Model for Leaf Disease IdentificationCode0
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense RetrievalCode0
HADA: A Graph-based Amalgamation Framework in Image-text RetrievalCode0
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric LearningCode0
TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible AdapterCode0
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated ImagesCode0
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