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 5776–5800 of 14297 papers

TitleStatusHype
Denoising Attention for Query-aware User Modeling in Personalized Search—0
BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verification—0
An Enhanced Object Detection Model for Scene Graph Generation—0
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19—0
Demonstrating Ambient Search: Implicit Document Retrieval for Speech Streams—0
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving—0
An enhanced method to compute the similarity between concepts of ontology—0
A Discriminative Semantic Ranker for Question Retrieval—0
Online stochastic gradient descent on non-convex losses from high-dimensional inference—0
Beurling-Selberg Extremization for Dual-Blind Deconvolution Recovery in Joint Radar-Communications—0
Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting—0
DEMENTIA-PLAN: An Agent-Based Framework for Multi-Knowledge Graph Retrieval-Augmented Generation in Dementia Care—0
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain—0
Delving into E-Commerce Product Retrieval with Vision-Language Pre-training—0
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering—0
Better Than Whitespace: Information Retrieval for Languages without Custom Tokenizers—0
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment—0
Better Retrieval May Not Lead to Better Question Answering—0
An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning—0
Déjà Vu Memorization in Vision-Language Models—0
Déjà Image-Captions: A Corpus of Expressive Descriptions in Repetition—0
De-Hashing: Server-Side Context-Aware Feature Reconstruction for Mobile Visual Search—0
Better Exploiting Motion for Better Action Recognition—0
An Encoder-Decoder Framework Translating Natural Language to Database Queries—0
Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation—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