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 7301–7325 of 14297 papers

TitleStatusHype
Prompt-based Learning for Unpaired Image Captioning—0
Matryoshka Representation LearningCode2
Cross-Architecture Self-supervised Video Representation LearningCode1
Fine-grained Image Captioning with CLIP RewardCode2
LeiBi@COLIEE 2022: Aggregating Tuned Lexical Models with a Cluster-driven BERT-based Model for Case Law Retrieval—0
Deep Dense Local Feature Matching and Vehicle Removal for Indoor Visual Localization—0
Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes—0
Investigating Information Inconsistency in Multilingual Open-Domain Question Answering—0
Few-shot Reranking for Multi-hop QA via Language Model PromptingCode1
R2D2: Robust Data-to-Text with Replacement DetectionCode0
Optimizing Test-Time Query Representations for Dense RetrievalCode1
FLEURS: Few-shot Learning Evaluation of Universal Representations of SpeechCode0
QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple ParagraphsCode2
You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in VideosCode1
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and ModelsCode1
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and IndexingCode1
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural NetworksCode1
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connectionsCode1
A Dataset for Sentence Retrieval for Open-Ended Dialogues—0
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval—0
Chunk-based Nearest Neighbor Machine TranslationCode0
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-EncoderCode2
Towards Tracing Factual Knowledge in Language Models Back to the Training DataCode1
UnifieR: A Unified Retriever for Large-Scale Retrieval—0
Training Efficient CNNS: Tweaking the Nuts and Bolts of Neural Networks for Lighter, Faster and Robust ModelsCode0
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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