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 8876–8900 of 14297 papers

TitleStatusHype
Learning to Rank Words: Optimizing Ranking Metrics for Word SpottingCode0
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question AnsweringCode1
Deep Random Projection Outlyingness for Unsupervised Anomaly Detection—0
ConSTR: A Contextual Search Term Recommender—0
CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question AnsweringCode1
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding EvaluationCode1
Neural Extractive Search—0
Phase retrieval with physics informed zero-shot learning—0
Optimization of Service Addition in Multilevel Index Model for Edge Computing—0
SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor LearningCode0
Conversational Fashion Image Retrieval via Multiturn Natural Language FeedbackCode1
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine ReadingCode0
Pre-trained Language Model for Web-scale Retrieval in Baidu Search—0
Video Imprint—0
A Comprehensive Assessment of Dialog Evaluation MetricsCode1
Diversity driven Query Rewriting in Search Advertising—0
Cross-language Sentence Selection via Data Augmentation and Rationale Training—0
Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning—0
A Deep Local and Global Scene-Graph Matching for Image-Text RetrievalCode1
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency—0
Retrieve & Memorize: Dialog Policy Learning with Multi-Action MemoryCode0
Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability—0
Reordering Examples Helps during Priming-based Few-Shot LearningCode0
A Dataset and Baselines for Multilingual Reply SuggestionCode0
Bandit Phase Retrieval—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