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 1726–1750 of 14297 papers

TitleStatusHype
Scholar Name Disambiguation with Search-enhanced LLM Across Language—0
Learning Visual Hierarchies with Hyperbolic Embeddings—0
Dual-task Mutual Reinforcing Embedded Joint Video Paragraph Retrieval and GroundingCode0
Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question AnsweringCode2
Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals—0
A Physics-Inspired Deep Learning Framework with Polar Coordinate Attention for Ptychographic ImagingCode0
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions (Full Thesis)—0
Image Generation Diversity Issues and How to Tame ThemCode1
LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report GenerationCode1
Learning by Analogy: Enhancing Few-Shot Prompting for Math Word Problem Solving with Computational Graph-Based Retrieval—0
Context Awareness Gate For Retrieval Augmented GenerationCode1
AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge ReasoningCode1
Multi-modal Retrieval Augmented Multi-modal Generation: A Benchmark, Evaluate Metrics and Strong BaselinesCode1
TransCompressor: LLM-Powered Multimodal Data Compression for Smart Transportation—0
SALOVA: Segment-Augmented Long Video Assistant for Targeted Retrieval and Routing in Long-Form Video Analysis—0
DreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation—0
Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxy—0
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval—0
Proceedings of the 6th International Workshop on Reading Music Systems—0
RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements—0
PEnG: Pose-Enhanced Geo-LocalisationCode0
Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challengeCode2
Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ DocumentsCode0
From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive GrammarsCode0
Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG—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