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 5001–5025 of 14297 papers

TitleStatusHype
Generating Images from Captions with AttentionCode0
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance DetectionCode0
Extending CLIP for Category-to-image Retrieval in E-commerceCode0
Generating Diverse and Meaningful CaptionsCode0
Editable User Profiles for Controllable Text RecommendationCode0
MatchZoo: A Learning, Practicing, and Developing System for Neural Text MatchingCode0
Generating Natural Questions About an ImageCode0
Generative Patch Priors for Practical Compressive Image RecoveryCode0
GINGER: Grounded Information Nugget-Based Generation of ResponsesCode0
edge2vec: Representation learning using edge semantics for biomedical knowledge discoveryCode0
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?Code0
EDeR: A Dataset for Exploring Dependency Relations Between EventsCode0
ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human RightsCode0
GATE-Time: Extraction of Temporal Expressions and EventsCode0
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote SensingCode0
ECO: Efficient Convolutional Network for Online Video UnderstandingCode0
Game-Based Video-Context DialogueCode0
GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental imageCode0
An unsupervised and customizable misspelling generator for mining noisy health-related text sourcesCode0
A Comparison of Question Rewriting Methods for Conversational Passage RetrievalCode0
Generalizing A Person Retrieval Model Hetero- and HomogeneouslyCode0
Functional Object-Oriented Network: Construction & ExpansionCode0
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in RecommendationCode0
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information RetrievalCode0
Early Exit Strategies for Approximate k-NN Search in Dense RetrievalCode0
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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