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 28262850 of 14297 papers

TitleStatusHype
Leveraging Automatic CAD Annotations for Supervised Learning in 3D Scene UnderstandingCode0
Less is More: Rejecting Unreliable Reviews for Product Question AnsweringCode0
Less is More: Removing Text-regions Improves CLIP Training Efficiency and RobustnessCode0
Leveraging Capsule Routing to Associate Knowledge with Medical Literature HierarchicallyCode0
Leveraging Unlabeled Data for Crowd Counting by Learning to RankCode0
Length is a Curse and a Blessing for Document-level SemanticsCode0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image RetrievalCode0
LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question AnsweringCode0
LeNER-Br: a Dataset for Named Entity Recognition in Brazilian Legal TextCode0
Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data SetsCode0
Legal Case Document Similarity: You Need Both Network and TextCode0
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and ExtractionCode0
BIRCO: A Benchmark of Information Retrieval Tasks with Complex ObjectivesCode0
Supervised Online Hashing via Hadamard Codebook LearningCode0
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval DatasetCode0
Advancing Image Retrieval with Few-Shot Learning and Relevance FeedbackCode0
Extractive Explanations for Interpretable Text RankingCode0
An Information Retrieval Approach to Short Text ConversationCode0
BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&ACode0
Learn to Understand Negation in Video RetrievalCode0
An Information Retrieval Approach to Building Datasets for Hate Speech DetectionCode0
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence InteractionsCode0
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMsCode0
BioNerFlair: biomedical named entity recognition using flair embedding and sequence taggerCode0
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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