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

Showing 23262350 of 14297 papers

TitleStatusHype
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain FeedbackCode1
CLIP-Lite: Information Efficient Visual Representation Learning with Language SupervisionCode1
Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual FeaturesCode1
Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and DataCode1
Cross-Architecture Self-supervised Video Representation LearningCode1
Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active LearningCode1
Fine-grained Textual Inversion Network for Zero-Shot Composed Image RetrievalCode1
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense RetrievalCode1
Agent-OM: Leveraging LLM Agents for Ontology MatchingCode1
CrIBo: Self-Supervised Learning via Cross-Image Object-Level BootstrappingCode1
Answering Questions on COVID-19 in Real-TimeCode1
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCOCode1
Chatting Makes Perfect: Chat-based Image RetrievalCode1
Cross-Batch Memory for Embedding LearningCode1
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence ModelsCode1
Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal HashingCode1
FMODetect: Robust Detection of Fast Moving ObjectsCode1
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation SystemsCode1
FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font ApplicationsCode1
FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptionsCode1
Fool Me Twice: Entailment from Wikipedia GamificationCode1
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-CheckingCode1
ForkGAN: Seeing into the Rainy NightCode1
Forward Compatible Training for Large-Scale Embedding Retrieval SystemsCode1
Building a Manga Dataset "Manga109" with Annotations for Multimedia ApplicationsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified