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 2001–2025 of 14297 papers

TitleStatusHype
Centrality-aware Product Retrieval and Ranking—0
Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience ReportCode1
Leveraging Retrieval-Augmented Generation for Culturally Inclusive Hakka Chatbots: Design Insights and User Perceptions—0
LUNDRY MANAGEMENT SYSTEM PROJECT REPORT—0
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question CoverageCode1
Deep Class-guided Hashing for Multi-label Cross-modal RetrievalCode0
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation—0
BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via CompressionCode1
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?—0
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric LearningCode0
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs—0
MMDS: A Multimodal Medical Diagnosis System Integrating Image Analysis and Knowledge-based Departmental Consultation—0
HyQE: Ranking Contexts with Hypothetical Query EmbeddingsCode1
Visual Navigation of Digital Libraries: Retrieval and Classification of Images in the National Library of Norway's Digitised Book CollectionCode0
Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language ModelsCode0
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling—0
Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization—0
Enhancing Retrieval Performance: An Ensemble Approach For Hard Negative Mining—0
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models—0
Class-RAG: Real-Time Content Moderation with Retrieval Augmented Generation—0
Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases—0
Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems—0
WeSpeR: Population spectrum retrieval and spectral density estimation of weighted sample covariance—0
DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational SearchCode0
Real-time Fake News from Adversarial FeedbackCode0
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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