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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 301–325 of 671 papers

TitleStatusHype
Accept the Modality Gap: An Exploration in the Hyperbolic Space—0
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval—0
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval—0
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening—0
Efficient Image Captioning for Edge Devices—0
Can BERT Dig It? -- Named Entity Recognition for Information Retrieval in the Archaeology Domain—0
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling—0
EA-VTR: Event-Aware Video-Text Retrieval—0
Dynamic Contrastive Distillation for Image-Text Retrieval—0
Building Vision-Language Models on Solid Foundations with Masked Distillation—0
Dual Relation Alignment for Composed Image Retrieval—0
Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval—0
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents—0
Bridging Queries and Tables through Entities in Table Retrieval—0
Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignment—0
Do Audio-Language Models Understand Linguistic Variations?—0
DLIP: Distilling Language-Image Pre-training—0
Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation—0
Bridging Classical and Quantum String Matching: A Computational Reformulation of Bit-Parallelism—0
AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models—0
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training—0
Leveraging Generative Language Models for Weakly Supervised Sentence Component Analysis in Video-Language Joint Learning—0
Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation—0
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs—0
VladVA: Discriminative Fine-tuning of LVLMs—0
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