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 9901–9925 of 14297 papers

TitleStatusHype
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval—0
CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning—0
CtrlRAG: Black-box Adversarial Attacks Based on Masked Language Models in Retrieval-Augmented Language Generation—0
CUB: Benchmarking Context Utilisation Techniques for Language Models—0
CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model—0
Cultural Awareness in Vision-Language Models: A Cross-Country Exploration—0
Cumulative Progress in Language Models for Information Retrieval—0
CUNI Submission to MRL 2023 Shared Task on Multi-lingual Multi-task Information Retrieval—0
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning—0
Curating Stopwords in Marathi: A TF-IDF Approach for Improved Text Analysis and Information Retrieval—0
CURE: Collection for Urdu Information Retrieval Evaluation and Ranking—0
CURE Dataset: Ladder Networks for Audio Event Classification—0
Curriculum Learning for Data-Efficient Vision-Language Alignment—0
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion—0
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval—0
Cursive Caption Text Detection in Videos—0
CUSATNLP@HASOC-Dravidian-CodeMix-FIRE2020:Identifying Offensive Language from ManglishTweets—0
CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval—0
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion—0
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models—0
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation—0
CV4Code: Sourcecode Understanding via Visual Code Representations—0
CVL-DataBase: An Off-Line Database for Writer Retrieval, Writer Identification and Word Spotting—0
CvxNet: Learnable Convex Decomposition—0
CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation—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