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 9176–9200 of 14297 papers

TitleStatusHype
Bridging Law and Data: Augmenting Reasoning via a Semi-Structured Dataset with IRAC methodology—0
Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models—0
Bridging Queries and Tables through Entities in Table Retrieval—0
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation—0
Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?—0
Bridging the Distribution Gap of Visible-Infrared Person Re-identification with Modality Batch Normalization—0
Bridging the Gap between Local Semantic Concepts and Bag of Visual Words for Natural Scene Image Retrieval—0
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling—0
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension—0
Bridging the Gap: Incorporating a Semantic Similarity Measure for Effectively Mapping PubMed Queries to Documents—0
Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL—0
Bridging the Preference Gap between Retrievers and LLMs—0
Bridging the Training-Inference Gap for Dense Phrase Retrieval—0
Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)—0
BRIT: Bidirectional Retrieval over Unified Image-Text Graph—0
Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks—0
Brown University at TREC Deep Learning 2019—0
BRULÈ: Barycenter-Regularized Unsupervised Landmark Extraction—0
BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain—0
BTEL: A Binary Tree Encoding Approach for Visual Localization—0
BTPD: A Multilingual Hand-curated Dataset of Bengali Transnational Political Discourse Across Online Communities—0
BUCEADOR, a multi-language search engine for digital libraries—0
BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha Statues—0
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling—0
Bug Fix Time Optimization Using Matrix Factorization and Iterative Gale-Shaply Algorithms—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