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 5076–5100 of 14297 papers

TitleStatusHype
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
Comprehensive Review on Semantic Information Retrieval and Ontology Engineering—0
Neural Memory Decoding with EEG Data and Representation Learning—0
GPT-3 Models are Few-Shot Financial Reasoners—0
Benchmarking and Analyzing Generative Data for Visual Recognition—0
The Visual Language of Fabrics—0
Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network—0
PRIOR: Prototype Representation Joint Learning from Medical Images and ReportsCode1
Audio-Enhanced Text-to-Video Retrieval using Text-Conditioned Feature Alignment—0
CLIP-KD: An Empirical Study of CLIP Model DistillationCode1
RRAML: Reinforced Retrieval Augmented Machine Learning—0
Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and ModelCode1
Towards a Visual-Language Foundation Model for Computational Pathology—0
XWalk: Random Walk Based Candidate Retrieval for Product Search—0
Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning—0
Alleviating the Long-Tail Problem in Conversational Recommender SystemsCode0
Generator-Retriever-Generator Approach for Open-Domain Question AnsweringCode1
SACReg: Scene-Agnostic Coordinate Regression for Visual Localization—0
Brain2Music: Reconstructing Music from Human Brain Activity—0
Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models—0
Language-Enhanced Session-Based Recommendation with Decoupled Contrastive Learning—0
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval AugmentationCode1
SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and Multi-View for 3D Object Retrieval—0
Transfer Learning and Bias Correction with Pre-trained Audio EmbeddingsCode1
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse RetrievalCode1
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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