SOTAVerified

Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

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Showing 1551–1575 of 14297 papers

TitleStatusHype
Cross Modal Retrieval with Querybank NormalisationCode1
Cross-modal Contrastive Learning for Speech TranslationCode1
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image RetrievalCode1
Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering (Published in Findings of EMNLP 2024)Code1
A Reproducible Extraction of Training Images from Diffusion ModelsCode1
Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative ApproachCode1
Augmenting Document Representations for Dense Retrieval with Interpolation and PerturbationCode1
In Defense of Cross-Encoders for Zero-Shot RetrievalCode1
Cross-Modal Adapter for Text-Video RetrievalCode1
ReFIT: Relevance Feedback from a Reranker during InferenceCode1
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image RetrievalCode1
Cross-modal Scene Graph Matching for Relationship-aware Image-Text RetrievalCode1
Curriculum Learning for Dense Retrieval DistillationCode1
Insights into LLM Long-Context Failures: When Transformers Know but Don't TellCode1
InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language ModelsCode1
Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment AnalysisCode1
Deconfounded Video Moment Retrieval with Causal InterventionCode1
Cross-Batch Memory for Embedding LearningCode1
Cross-Architecture Self-supervised Video Representation LearningCode1
AugNet: End-to-End Unsupervised Visual Representation Learning with Image AugmentationCode1
Semantic-Fused Multi-Granularity Cross-City Traffic PredictionCode1
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQACode1
A Unified Framework for Learned Sparse RetrievalCode1
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play ApproachCode1
CrIBo: Self-Supervised Learning via Cross-Image Object-Level BootstrappingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified