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 9876–9900 of 14297 papers

TitleStatusHype
Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning—0
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
Cross-Modal Retrieval with Implicit Concept Association—0
Cross-modal Retrieval with Improved Graph Convolution—0
Cross-Modal Scene Networks—0
Cross-Modal Search and Exploration of Greek Painted Pottery—0
Cross-modal Search Method of Technology Video based on Adversarial Learning and Feature Fusion—0
Cross-modal Semantic Enhanced Interaction for Image-Sentence Retrieval—0
Cross-Modal Similarity Learning : A Low Rank Bilinear Formulation—0
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval—0
Cross-modal variational inference for bijective signal-symbol translation—0
Cross-Modal Visual Relocalization in Prior LiDAR Maps Utilizing Intensity Textures—0
Cross-modal Zero-shot Hashing—0
Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval—0
Cross-Probe BERT for Efficient and Effective Cross-Modal Search—0
Cross-View Image Retrieval -- Ground to Aerial Image Retrieval through Deep Learning—0
CRST: a Claim Retrieval System in Twitter—0
CRTS: A type system for representing clinical recommendations—0
CS591 Report: Application of siamesa network in 2D transformation—0
CSDR-BERT: a pre-trained scientific dataset match model for Chinese Scientific Dataset Retrieval—0
CSIRO Data61 at the WNUT Geo Shared Task—0
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval—0
CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers—0
CSPLADE: Learned Sparse Retrieval with Causal Language Models—0
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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