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 8701–8725 of 14297 papers

TitleStatusHype
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges—0
Exploring Low-light Object Detection Techniques—0
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal PretrainingCode1
MTVR: Multilingual Moment Retrieval in VideosCode1
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey—0
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System—0
ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss—0
Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN—0
Domain-matched Pre-training Tasks for Dense Retrieval—0
Goal-Oriented Script ConstructionCode0
Fast and Scalable Image Search For HistologyCode1
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose EstimationCode1
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalizationCode0
Red Dragon AI at TextGraphs 2021 Shared Task: Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings—0
Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection—0
Enriching Local and Global Contexts for Temporal Action LocalizationCode1
One Question Answering Model for Many Languages with Cross-lingual Dense Passage RetrievalCode1
HANet: Hierarchical Alignment Networks for Video-Text RetrievalCode1
Boosting Video Captioning with Dynamic Loss Network—0
Transcript to Video: Efficient Clip Sequencing from Texts—0
Caveats for the use of Web of Science Core Collection in old literature retrieval and historical bibliometric analysis—0
Medical Literature Mining and Retrieval in a Conversational Setting—0
Multi-stage Pre-training over Simplified Multimodal Pre-training ModelsCode0
COfEE: A Comprehensive Ontology for Event Extraction from text—0
Linked Data Triples Enhance Document Relevance ClassificationCode0
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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