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 3651–3675 of 14297 papers

TitleStatusHype
De-Hashing: Server-Side Context-Aware Feature Reconstruction for Mobile Visual Search—0
Déjà Image-Captions: A Corpus of Expressive Descriptions in Repetition—0
An Encoder-Decoder Framework Translating Natural Language to Database Queries—0
Déjà Vu Memorization in Vision-Language Models—0
Automatic Textual Evidence Mining in COVID-19 Literature—0
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment—0
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering—0
Delving into E-Commerce Product Retrieval with Vision-Language Pre-training—0
Data-Efficient Autoregressive Document Retrieval for Fact Verification—0
Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting—0
Data-Driven Relevance Judgments for Ranking Evaluation—0
Automatic Text Summarization Approaches to Speed up Topic Model Learning Process—0
Demonstrating Ambient Search: Implicit Document Retrieval for Speech Streams—0
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving—0
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model—0
Data-driven intelligent computational design for products: Method, techniques, and applications—0
Data-Driven Dialogue Systems for Social Agents—0
Denoising Attention for Query-aware User Modeling in Personalized Search—0
Automatic Teaching Platform on Vision Language Retrieval Augmented Generation—0
Denoising Nearest Neighbor Graph via Continuous CRF for Visual Re-ranking without Fine-tuning—0
Data-Driven Design for Fourier Ptychographic Microscopy—0
Data-Driven Design-by-Analogy: State of the Art and Future Directions—0
Dense Hebbian neural networks: a replica symmetric picture of supervised learning—0
Automatic tagging and retrieval of E-Commerce products based on visual features—0
Towards Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems—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