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 2801–2825 of 14297 papers

TitleStatusHype
A Novel Approach to Develop a New Hybrid Technique for Trademark Image Retrieval—0
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs—0
Brain Tumor Image Retrieval via Multitask Learning—0
Adversarial Learning for Improved Onsets and Frames Music Transcription—0
Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities—0
Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness—0
A Novel Algorithm for Exact Concave Hull Extraction—0
Brain2Music: Reconstructing Music from Human Brain Activity—0
A Note on Shift Retrieval Problems—0
A Comparative Study of Methods for Topic Modeling in Spoken Document Retrieval—0
3D-Assisted Feature Synthesis for Novel Views of an Object—0
On Validation of Search & Retrieval of Tissue Images in Digital Pathology—0
Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval—0
Deep Attributes from Context-Aware Regional Neural Codes—0
An Oral History Annotation Tool for INTER-VIEWs—0
Decouple Non-parametric Knowledge Distillation For End-to-end Speech Translation—0
BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval—0
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique—0
Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention—0
An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education—0
Adversarial Databases Improve Success in Retrieval-based Large Language Models—0
Bootstrapping Term Extractors for Multiple Languages—0
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars—0
3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks—0
Bootstrapping Disjoint Datasets for Multilingual Multimodal Representation Learning—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