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 6476–6500 of 14297 papers

TitleStatusHype
Improving Tag-Clouds as Visual Information Retrieval Interfaces—0
A New Fine-grained Alignment Method for Image-text Matching—0
Improving Term Frequency Normalization for Multi-topical Documents, and Application to Language Modeling Approaches—0
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking—0
Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval—0
Improving Calibration in Deep Metric Learning With Cross-Example Softmax—0
Improving Biomedical Information Retrieval with Neural Retrievers—0
Cross-modal Place Recognition in Image Databases using Event-based Sensors—0
Auto-JacoBin: Auto-encoder Jacobian Binary Hashing—0
An Accuracy-Enhanced Stemming Algorithm for Arabic Information Retrieval—0
Improving Biomedical Analogical Retrieval with Embedding of Structural Dependencies—0
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies—0
Improving Bilingual Terminology Extraction from Comparable Corpora via Multiple Word-Space Models—0
Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization—0
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence—0
Improving Users' Mental Model with Attention-directed Counterfactual Edits—0
Cross-Modal Manifold Learning for Cross-modal Retrieval—0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation—0
Improving Video Retrieval by Adaptive Margin—0
Improving average ranking precision in user searches for biomedical research datasets—0
Exploring Train and Test-Time Augmentations for Audio-Language Learning—0
Improving Vietnamese Legal Document Retrieval using Synthetic Data—0
Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment—0
Improving Zero-Shot Entity Retrieval through Effective Dense Representations—0
Improving Attributed Text Generation of Large Language Models via Preference Learning—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