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 2051–2075 of 14297 papers

TitleStatusHype
Image-text Retrieval via Preserving Main Semantics of VisionCode1
Image Retrieval from Contextual DescriptionsCode1
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal RetrievalCode1
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language ModelsCode1
Image Translation via Fine-grained Knowledge TransferCode1
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systemsCode1
Image Generation Diversity Issues and How to Tame ThemCode1
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
Image Quality Assessment: Unifying Structure and Texture SimilarityCode1
Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense RetrievalCode1
CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language DescriptionsCode1
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow PredictionCode1
ILIAS: Instance-Level Image retrieval At ScaleCode1
A Comprehensive Assessment of Dialog Evaluation MetricsCode1
Citation-Enhanced Generation for LLM-based ChatbotsCode1
Image-based table recognition: data, model, and evaluationCode1
Circle Loss: A Unified Perspective of Pair Similarity OptimizationCode1
3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in RadiologyCode1
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot CaptioningCode1
CLoVe: Encoding Compositional Language in Contrastive Vision-Language ModelsCode1
A Flexible Plug-and-Play Module for Generating Variable-LengthCode1
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM CollaborationCode1
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and LanguagesCode1
Imagine This! Scripts to Compositions to VideosCode1
Insights into LLM Long-Context Failures: When Transformers Know but Don't TellCode1
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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