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 1376–1400 of 14297 papers

TitleStatusHype
A Rotation-Invariant Framework for Deep Point Cloud AnalysisCode1
Federated Self-supervised Learning for Video UnderstandingCode1
Data Curation Alone Can Stabilize In-context LearningCode1
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual RetrievalCode1
A Survey of Multimodal Composite Editing and RetrievalCode1
Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation PerspectiveCode1
Federated Recommendation via Hybrid Retrieval Augmented GenerationCode1
Feature Re-Learning with Data Augmentation for Video Relevance PredictionCode1
Condensed Movies: Story Based Retrieval with Contextual EmbeddingsCode1
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based FeaturesCode1
CONFLARE: CONFormal LArge language model REtrievalCode1
Conformer-Kernel with Query Term Independence for Document RetrievalCode1
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge TransferCode1
Connecting Language and Vision for Natural Language-Based Vehicle RetrievalCode1
GuP: Fast Subgraph Matching by Guard-based PruningCode1
Feature Representation Learning for Unsupervised Cross-domain Image RetrievalCode1
CONQUER: Contextual Query-aware Ranking for Video Corpus Moment RetrievalCode1
AlignRAG: Leveraging Critique Learning for Evidence-Sensitive Retrieval-Augmented ReasoningCode1
Progressive Correspondence Pruning by Consensus LearningCode1
1st Place Solution to Google Landmark Retrieval 2020Code1
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet ExtractionCode1
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant ImagesCode1
Constructing Tree-based Index for Efficient and Effective Dense RetrievalCode1
FedCMR: Federated Cross-Modal RetrievalCode1
FELM: Benchmarking Factuality Evaluation of Large Language ModelsCode1
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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