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 4676–4700 of 14297 papers

TitleStatusHype
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language ModelsCode2
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval—0
Vision-by-Language for Training-Free Compositional Image RetrievalCode1
Language Models are Universal EmbeddersCode1
On Using GUI Interaction Data to Improve Text Retrieval-based Bug LocalizationCode0
Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval—0
Fine-Tuning LLaMA for Multi-Stage Text RetrievalCode1
Jointly Optimized Global-Local Visual Localization of UAVs—0
The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POSCode1
Search-Adaptor: Embedding Customization for Information Retrieval—0
Hyp-UML: Hyperbolic Image Retrieval with Uncertainty-aware Metric Learning—0
Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval—0
Impact of time and note duration tokenizations on deep learning symbolic music modelingCode0
Language Models As Semantic IndexersCode1
CrIBo: Self-Supervised Learning via Cross-Image Object-Level BootstrappingCode1
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language ModelsCode1
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge GeneratorsCode1
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented ModelsCode1
Preliminary Results of a Scientometric Analysis of the German Information Retrieval Community 2020-2023Code0
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining—0
ROMO: Retrieval-enhanced Offline Model-based OptimizationCode0
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image ReconstructionCode0
Validating Synthetic Usage Data in Living Lab EnvironmentsCode0
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCode2
Retrieve Anything To Augment Large Language Models—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