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 1501–1525 of 14297 papers

TitleStatusHype
HANet: Hierarchical Alignment Networks for Video-Text RetrievalCode1
Attentive Mask CLIPCode1
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense EncodersCode1
HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World ClaimsCode1
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-trainingCode1
HHF: Hashing-guided Hinge Function for Deep Hashing RetrievalCode1
Hierarchical Attention Fusion for Geo-LocalizationCode1
Hierarchical Document Refinement for Long-context Retrieval-augmented GenerationCode1
Semantic-Fused Multi-Granularity Cross-City Traffic PredictionCode1
CrIBo: Self-Supervised Learning via Cross-Image Object-Level BootstrappingCode1
Hierarchical Video-Moment Retrieval and Step-CaptioningCode1
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image RetrievalCode1
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage RetrievalCode1
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCOCode1
HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer RerankingCode1
Cross-document Event Coreference Search: Task, Dataset and ModelingCode1
Holistic Features are almost Sufficient for Text-to-Video RetrievalCode1
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image RetrievalCode1
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?Code1
How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?Code1
Audio-based Near-Duplicate Video Retrieval with Audio Similarity LearningCode1
AudioBERT: Audio Knowledge Augmented Language ModelCode1
Adaptive label-aware graph convolutional networks for cross-modal retrievalCode1
C-RAG: Certified Generation Risks for Retrieval-Augmented 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