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 1526–1550 of 14297 papers

TitleStatusHype
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge ManagementCode1
Hyperbolic Image-Text RepresentationsCode1
Hyperbolic Relevance Matching for Neural Keyphrase ExtractionCode1
Audio Embeddings as Teachers for Music ClassificationCode1
Cross-Lingual Cross-Modal Retrieval with Noise-Robust LearningCode1
HyQE: Ranking Contexts with Hypothetical Query EmbeddingsCode1
Semantic-Fused Multi-Granularity Cross-City Traffic PredictionCode1
Identical Image Retrieval using Deep LearningCode1
audioLIME: Listenable Explanations Using Source SeparationCode1
Cross-Batch Memory for Embedding LearningCode1
Cross-document Event Coreference Search: Task, Dataset and ModelingCode1
Audio Retrieval with Natural Language Queries: A Benchmark StudyCode1
Audio Retrieval with WavText5K and CLAP TrainingCode1
Cross-Modal Adapter for Text-Video RetrievalCode1
ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective ReasoningCode1
Image Translation via Fine-grained Knowledge TransferCode1
Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense RetrievalCode1
CrIBo: Self-Supervised Learning via Cross-Image Object-Level BootstrappingCode1
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme DetectionCode1
Improving Commonsense in Vision-Language Models via Knowledge Graph RiddlesCode1
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and NegativesCode1
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCOCode1
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-InCode1
Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain ReasoningCode1
A Reproducible Extraction of Training Images from Diffusion 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