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 1751–1775 of 14297 papers

TitleStatusHype
Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning MethodCode1
EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health RecordsCode1
EigenPlaces: Training Viewpoint Robust Models for Visual Place RecognitionCode1
Embedding-based Zero-shot Retrieval through Query GenerationCode1
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMsCode1
Chat3GPP: An Open-Source Retrieval-Augmented Generation Framework for 3GPP DocumentsCode1
ELITE: Embedding-Less retrieval with Iterative Text ExplorationCode1
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social MediaCode1
Chatting Makes Perfect: Chat-based Image RetrievalCode1
Emotional RAG: Enhancing Role-Playing Agents through Emotional RetrievalCode1
Emotion Embedding Spaces for Matching Music to StoriesCode1
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe KeypointsCode1
End-to-End Beam Retrieval for Multi-Hop Question AnsweringCode1
A Deep Local and Global Scene-Graph Matching for Image-Text RetrievalCode1
Globetrotter: Connecting Languages by Connecting ImagesCode1
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question AnsweringCode1
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense RetrievalCode1
Encoding Spatial Distribution of Convolutional Features for Texture RepresentationCode1
Agent-OM: Leveraging LLM Agents for Ontology MatchingCode1
MV-Adapter: Multimodal Video Transfer Learning for Video Text RetrievalCode1
An efficient graph generative model for navigating ultra-large combinatorial synthesis librariesCode1
End-to-End Learning of Flowchart Grounded Task-Oriented DialogsCode1
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition ModelCode1
Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active LearningCode1
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language ModelsCode1
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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