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 3426–3450 of 14297 papers

TitleStatusHype
URL: Universal Referential Knowledge Linking via Task-instructed Representation CompressionCode0
Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for TelecommunicationsCode2
From Local to Global: A Graph RAG Approach to Query-Focused SummarizationCode14
A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry—0
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches—0
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs—0
Multi-view Content-aware Indexing for Long Document Retrieval—0
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation—0
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval—0
A Reproducibility Study of PLAID—0
From Matching to Generation: A Survey on Generative Information RetrievalCode3
Retrieval Augmented Generation for Domain-specific Question Answering—0
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist CollaborationCode2
Deep Models for Multi-View 3D Object Recognition: A Review—0
KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces—0
Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous DecodingCode1
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented GenerationCode1
SPLATE: Sparse Late Interaction Retrieval—0
Tree of Reviews: A Tree-based Dynamic Iterative Retrieval Framework for Multi-hop Question Answering—0
"Where am I?" Scene Retrieval with Language—0
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question AnsweringCode0
Retrieval-Augmented Audio Deepfake Detection—0
Hierarchical localization with panoramic views and triplet loss functionsCode0
SHE-Net: Syntax-Hierarchy-Enhanced Text-Video Retrieval—0
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation—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