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 7526–7550 of 14297 papers

TitleStatusHype
Learning to Exploit Different Translation Resources for Cross Language Information Retrieval—0
Evaluation of Table Representations to Answer Questions from Tables in Documents : A Case Study using 3GPP Specifications—0
Evaluation of some Information Retrieval models for Gujarati Ad hoc Monolingual Tasks—0
A Gold Standard for CLIR evaluation in the Organic Agriculture Domain—0
Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language—0
Clarification of Video Retrieval Query Results by the Automated Insertion of Supporting Shots—0
Learning to Hash-tag Videos with Tag2Vec—0
Learning to Hash with Binary Reconstructive Embeddings—0
Learning to Hash with Graph Neural Networks for Recommender Systems—0
Learning to hash with semantic similarity metrics and empirical KL divergence—0
Learning to Interpret and Describe Abstract Scenes—0
Evaluation of RAG Metrics for Question Answering in the Telecom Domain—0
Evaluation of quadratic phase hologram calculation algorithms in the Fourier regime—0
A Retrieval Framework and Implementation for Electronic Documents with Similar Layouts—0
Learning to Link—0
D-Graph: AI-Assisted Design Concept Exploration Graph—0
BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models—0
A Tale of Two Efficient and Informative Negative Sampling Distributions—0
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning—0
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics—0
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow—0
Evaluation of medium-large Language Models at zero-shot closed book generative question answering—0
Evaluation of Information Retrieval Systems Using Structural Equation Modelling—0
DIABLO: Dictionary-based Attention Block for Deep Metric Learning—0
Evaluation of drain, a deep-learning approach to rain retrieval from gpm passive microwave radiometer—0
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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