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 2976–3000 of 14297 papers

TitleStatusHype
Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction—0
Symmetric Multi-Similarity Loss for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2024Code0
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision MakersCode2
DrVideo: Document Retrieval Based Long Video Understanding—0
A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning—0
PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval—0
Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine—0
Design and evaluation of AI copilots -- case studies of retail copilot templates—0
Satyrn: A Platform for Analytics Augmented GenerationCode0
CItruS: Chunked Instruction-aware State Eviction for Long Sequence ModelingCode0
Unifying Multimodal Retrieval via Document Screenshot Embedding—0
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAGCode0
Tracking the perspectives of interacting language models—0
SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation—0
Multi-Layer Ranking with Large Language Models for News Source Recommendation—0
Retrieval-Augmented Feature Generation for Domain-Specific Classification—0
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed GraphsCode1
Duoduo CLIP: Efficient 3D Understanding with Multi-View ImagesCode2
Evaluating the Efficacy of Open-Source LLMs in Enterprise-Specific RAG Systems: A Comparative Study of Performance and ScalabilityCode0
Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware Hypergraph Diffusion—0
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive ReasoningCode3
Few-Shot Recognition via Stage-Wise Retrieval-Augmented FinetuningCode1
Language Modeling with Editable External KnowledgeCode1
Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels—0
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models—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