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Text Retrieval
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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)
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese Regulations
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling
GLAP: General contrastive audio-text pretraining across domains and languages
Adding simple structure at inference improves Vision-Language Compositionality
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation
Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts
Attacking Attention of Foundation Models Disrupts Downstream Tasks
ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory
MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval
Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
Representation Discrepancy Bridging Method for Remote Sensing Image-Text Retrieval
LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts
Breaking Language Barriers or Reinforcing Bias? A Study of Gender and Racial Disparities in Multilingual Contrastive Vision Language Models
Towards Cross-modal Retrieval in Chinese Cultural Heritage Documents: Dataset and Solution
mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction
A Vision-Language Foundation Model for Leaf Disease Identification
FG-CLIP: Fine-Grained Visual and Textual Alignment
QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs
Towards Understanding Camera Motions in Any Video
SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations
Bridging Queries and Tables through Entities in Table Retrieval
LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders
Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
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