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 2401–2425 of 14297 papers

TitleStatusHype
Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector SpacesCode1
Deep Triplet Hashing Network for Case-based Medical Image RetrievalCode1
3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity ChallengeCode1
DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing AnomaliesCode1
Code Recommendation for Open Source Software DevelopersCode1
Deformation-Aware 3D Model Embedding and RetrievalCode1
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question UnderstandingCode1
Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question AnsweringCode1
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud RegistrationCode1
Knowledge-Enhanced Dual-stream Zero-shot Composed Image RetrievalCode1
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code MatchingCode1
CODEC: Complex Document and Entity CollectionCode1
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-PracticingCode1
More Robust Dense Retrieval with Contrastive Dual LearningCode1
Building A Coding Assistant via the Retrieval-Augmented Language ModelCode1
Dense Relational Image Captioning via Multi-task Triple-Stream NetworksCode1
Answering Complex Open-Domain Questions with Multi-Hop Dense RetrievalCode1
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature AggregationCode1
Densifying Sparse Representations for Passage Retrieval by Representational SlicingCode1
Mr. TyDi: A Multi-lingual Benchmark for Dense RetrievalCode1
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust LearningCode1
Enhancing Multilingual Language Model with Massive Multilingual Knowledge TriplesCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents IntegrationCode1
Co-Attention Aligned Mutual Cross-Attention for Cloth-Changing Person Re-IdentificationCode1
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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