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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 7801–7825 of 14297 papers

TitleStatusHype
Linking Art through Human Poses—0
Linking Graph Entities with Multiplicity and Provenance—0
Disorder-invariant Implicit Neural Representation—0
Bioptic B1: A Target-Agnostic Potency-Based Small Molecules Search Engine—0
CIR at the NTCIR-17 ULTRE-2 Task—0
LINKs: Large Language Model Integrated Management for 6G Empowered Digital Twin NetworKs—0
Evaluating Research Dataset Recommendations in a Living Lab—0
Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus—0
CIMON: Towards High-quality Hash Codes—0
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features—0
Aggregating Local Deep Features for Image Retrieval—0
LISN @ WMT 2021—0
Dissecting Temporal Understanding in Text-to-Audio Retrieval—0
MarineVRS: Marine Video Retrieval System with Explainability via Semantic Understanding—0
Mask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal Retrieval—0
Evaluating Recipes Generated from Functional Object-Oriented Network—0
Distance-based Composable Representations with Neural Networks—0
Literature Review of the Pioneering Approaches in Cloud-based Search Engines Powered by LETOR Techniques—0
Are Semantically Coherent Topic Models Useful for Ad Hoc Information Retrieval?—0
Evaluating Quality of Answers for Retrieval-Augmented Generation: A Strong LLM Is All You Need—0
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning—0
Aggregating Image and Text Quantized Correlated Components—0
ChuXin: 1.6B Technical Report—0
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization—0
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering—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