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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9751–9775 of 14297 papers

TitleStatusHype
Learning to Rank with Small Set of Ground Truth Data—0
Learning to Recognise Words using Visually Grounded Speech—0
Learning to Reformulate the Queries on the WEB—0
Learning to Represent Image and Text with Denotation Graph—0
Learning to Retrieve for Job Matching—0
Learning to Retrieve Iteratively for In-Context Learning—0
Learning to retrieve out-of-vocabulary words in speech recognition—0
Learning to Scale Multilingual Representations for Vision-Language Tasks—0
Learning to Select In-Context Demonstration Preferred by Large Language Model—0
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation—0
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching—0
Learning to Sketch Human Facial Portraits using Personal Styles by Case-Based Reasoning—0
Learning to Sketch with Shortcut Cycle Consistency—0
Learning to Synthesize: Robust Phase Retrieval at Low Photon counts—0
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery—0
Learning to Translate: A Query-Specific Combination Approach for Cross-Lingual Information Retrieval—0
Learning to Truncate Ranked Lists for Information Retrieval—0
Learning to Weight Translations using Ordinal Linear Regression and Query-generated Training Data for Ad-hoc Retrieval with Long Queries—0
Learning Trajectory-Word Alignments for Video-Language Tasks—0
Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval—0
Learning Translation Models from Monolingual Continuous Representations—0
Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans—0
Learning Unified Embedding for Apparel Recognition—0
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat—0
Learning User Representations for Open Vocabulary Image Hashtag Prediction—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