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 1751–1800 of 14297 papers

TitleStatusHype
AutoTransition: Learning to Recommend Video Transition EffectsCode1
RealTime QA: What's the Answer Right Now?Code1
Abstracting Sketches through Simple PrimitivesCode1
NewsStories: Illustrating articles with visual summariesCode1
V^2L: Leveraging Vision and Vision-language Models into Large-scale Product RetrievalCode1
Training Effective Neural Sentence Encoders from Automatically Mined ParaphrasesCode1
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and DeformationCode1
LocVTP: Video-Text Pre-training for Temporal LocalizationCode1
UFO: Unified Feature OptimizationCode1
Feature Representation Learning for Unsupervised Cross-domain Image RetrievalCode1
FashionViL: Fashion-Focused Vision-and-Language Representation LearningCode1
Can large language models reason about medical questions?Code1
Clover: Towards A Unified Video-Language Alignment and Fusion ModelCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
TS2-Net: Token Shift and Selection Transformer for Text-Video RetrievalCode1
X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text RetrievalCode1
MM-ALT: A Multimodal Automatic Lyric Transcription SystemCode1
Re2G: Retrieve, Rerank, GenerateCode1
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named EntitiesCode1
A clinically motivated self-supervised approach for content-based image retrieval of CT liver imagesCode1
Towards Proper Contrastive Self-supervised Learning Strategies For Music Audio RepresentationCode1
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale ExtractionCode1
Video Dialog as Conversation about Objects Living in Space-TimeCode1
An Approach to Ensure Fairness in News ArticlesCode1
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question AnsweringCode1
Integrating multi-label contrastive learning with dual adversarial graph neural networks for cross-modal retrievalCode1
Federated Self-supervised Learning for Video UnderstandingCode1
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasetsCode1
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean LabelCode1
CL-ReLKT: Cross-lingual Language Knowledge Transfer for Multilingual Retrieval Question AnsweringCode1
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQACode1
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-SupervisionCode1
Short-Term Plasticity Neurons Learning to Learn and ForgetCode1
SLIC: Self-Supervised Learning with Iterative Clustering for Human Action VideosCode1
Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle RetrievalCode1
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query GenerationCode1
Questions Are All You Need to Train a Dense Passage RetrieverCode1
A Dense Representation Framework for Lexical and Semantic MatchingCode1
Self-supervised deep image restoration via adaptive stochastic gradient Langevin dynamicsCode1
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based FeaturesCode1
MixGen: A New Multi-Modal Data AugmentationCode1
ReCo: Retrieve and Co-segment for Zero-shot TransferCode1
Learning Enhanced Representations for Tabular Data via Neighborhood PropagationCode1
LAVENDER: Unifying Video-Language Understanding as Masked Language ModelingCode1
Memory-Based Model Editing at ScaleCode1
A Neural Corpus Indexer for Document RetrievalCode1
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot RetrievalCode1
Learning to Ask Like a PhysicianCode1
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-CheckingCode1
Revisiting the "Video" in Video-Language UnderstandingCode1
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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