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 4126–4150 of 14297 papers

TitleStatusHype
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks—0
An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-Doc—0
Curating Stopwords in Marathi: A TF-IDF Approach for Improved Text Analysis and Information Retrieval—0
Accelerating Retrieval-Augmented Generation—0
Entity based Q\&A Retrieval—0
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning—0
CUNI Submission to MRL 2023 Shared Task on Multi-lingual Multi-task Information Retrieval—0
Automatic Curation of Golf Highlights using Multimodal Excitement Features—0
Cumulative Progress in Language Models for Information Retrieval—0
Cultural Awareness in Vision-Language Models: A Cross-Country Exploration—0
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations—0
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval—0
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering—0
CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model—0
CUB: Benchmarking Context Utilisation Techniques for Language Models—0
Automatic Crater Shape Retrieval using Unsupervised and Semi-Supervised Systems—0
CtrlRAG: Black-box Adversarial Attacks Based on Masked Language Models in Retrieval-Augmented Language Generation—0
Automatic Coupling of Answer Extraction and Information Retrieval—0
An Alternative Cross Entropy Loss for Learning-to-Rank—0
Automatic Construction of Discourse Corpora for Dialogue Translation—0
Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design—0
CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning—0
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval—0
Towards Cross-modal Retrieval in Chinese Cultural Heritage Documents: Dataset and Solution—0
Dynamic 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