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 1651–1675 of 14297 papers

TitleStatusHype
Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical MedicineCode1
Retrieval Augmentation for Commonsense Reasoning: A Unified ApproachCode1
ComFact: A Benchmark for Linking Contextual Commonsense KnowledgeCode1
Neural Eigenfunctions Are Structured Representation LearnersCode1
Cross-document Event Coreference Search: Task, Dataset and ModelingCode1
Boosting vision transformers for image retrievalCode1
General Image Descriptors for Open World Image Retrieval using ViT CLIPCode1
An efficient graph generative model for navigating ultra-large combinatorial synthesis librariesCode1
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-RankingCode1
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image RetrievalCode1
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph ConstructionCode1
VTC: Improving Video-Text Retrieval with User CommentsCode1
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial DocumentsCode1
Selective Query-guided Debiasing for Video Corpus Moment RetrievalCode1
Scaling up Trustless DNN Inference with Zero-Knowledge ProofsCode1
Sentence Representation Learning with Generative Objective rather than Contrastive ObjectiveCode1
Active Learning from the WebCode1
Code Recommendation for Open Source Software DevelopersCode1
Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary EncodingCode1
Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined TopicsCode1
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training ModelCode1
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQACode1
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question AnsweringCode1
Large-to-small Image Resolution Asymmetry in Deep Metric LearningCode1
Hybrid Inverted Index Is a Robust Accelerator for Dense RetrievalCode1
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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