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 7326–7350 of 14297 papers

TitleStatusHype
Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense RetrievalCode1
Deep Image Retrieval is not Robust to Label Noise—0
SiSPRNet: End-to-End Learning for Single-Shot Phase RetrievalCode1
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders—0
AFEC: A Knowledge Graph Capturing Social Intelligence in Casual Conversations—0
Ptychographic reconstruction with wavefront initialization—0
Language Models with Image Descriptors are Strong Few-Shot Video-Language LearnersCode1
Geo-Localization via Ground-to-Satellite Cross-View Image RetrievalCode1
HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer RerankingCode1
NS3: Neuro-Symbolic Semantic Code SearchCode0
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative TrainingCode1
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented DialogCode0
Down and Across: Introducing Crossword-Solving as a New NLP BenchmarkCode0
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich NetworksCode1
Visually-Augmented Language ModelingCode1
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity RecognitionCode1
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction—0
Table Retrieval May Not Necessitate Table-specific Model DesignCode1
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System—0
Two-Step Question Retrieval for Open-Domain QACode0
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance RankingCode0
PLAID: An Efficient Engine for Late Interaction RetrievalCode4
Modeling Exemplification in Long-form Question Answering via Retrieval—0
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking—0
VRAG: Region Attention Graphs for Content-Based Video 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