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 7001–7025 of 14297 papers

TitleStatusHype
KNN-LM Does Not Improve Open-ended Text Generation—0
CLINIQA: A Machine Intelligence Based Clinical Question Answering System—0
Expert-Guided Extinction of Toxic Tokens for Debiased Generation—0
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We?—0
Deep Learning Based Image Retrieval in the JPEG Compressed Domain—0
Argument Generation with Retrieval, Planning, and Realization—0
Experiments with Different Indexing Techniques for Text Retrieval tasks on Gujarati Language using Bag of Words Approach—0
Experiments on Manual Thesaurus based Query Expansion for Ad-hoc Monolingual Gujarati Information Retrieval Tasks—0
Experiments of Distance Measurements in a Foliage Plant Retrieval System—0
Knowledge-Aided Open-Domain Question Answering—0
Deep Learning Based Semantic Video Indexing and Retrieval—0
Knowledge-Aware Iterative Retrieval for Multi-Agent Systems—0
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval—0
Knowledge Aware Semantic Concept Expansion for Image-Text Matching—0
Knowledge-aware Text-Image Retrieval for Remote Sensing Images—0
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval—0
Knowledge-based end-to-end memory networks—0
Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice—0
Knowledge-based Multimodal Music Similarity—0
Knowledge-based Query Expansion in Real-Time Microblog Search—0
Knowledge Base Index Compression via Dimensionality and Precision Reduction—0
ArgumenText: Searching for Arguments in Heterogeneous Sources—0
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training—0
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning—0
Learning Context-Adapted Video-Text Retrieval by Attending to User Comments—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