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 2676–2700 of 14297 papers

TitleStatusHype
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty RegularizationCode1
Learning with Noisy Correspondence for Cross-modal MatchingCode1
MosAIc: Finding Artistic Connections across Culture with Conditional Image RetrievalCode1
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based FeaturesCode1
A Straightforward Framework For Video Retrieval Using CLIPCode1
A large-scale study of the effects of word frequency and predictability in naturalistic readingCode1
Composing Text and Image for Image Retrieval - An Empirical OdysseyCode1
A Strong Baseline for Fashion Retrieval with Person Re-Identification ModelsCode1
CONFLARE: CONFormal LArge language model REtrievalCode1
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQACode1
Compositional Attention: Disentangling Search and RetrievalCode1
Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-IdentificationCode1
Learning video retrieval models with relevance-aware online miningCode1
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual RetrievalCode1
Compositional Learning of Image-Text Query for Image RetrievalCode1
Condensed Movies: Story Based Retrieval with Contextual EmbeddingsCode1
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language ModelingCode1
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision TransformersCode1
Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language ModelsCode1
Learning Tree-based Deep Model for Recommender SystemsCode1
Learning with Holographic Reduced RepresentationsCode1
LED: Lexicon-Enlightened Dense Retriever for Large-Scale RetrievalCode1
Learning to Retrieve Passages without SupervisionCode1
Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term ConversationsCode1
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question AnsweringCode1
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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