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

Showing 5175 of 14297 papers

TitleStatusHype
MegaFold: System-Level Optimizations for Accelerating Protein Structure Prediction ModelsCode2
Controlled Retrieval-augmented Context Evaluation for Long-form RAG0
Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models0
RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base0
Referring Expression Instance Retrieval and A Strong End-to-End Baseline0
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning AgentsCode4
Phase retrieval with rank d measurements -- descending algorithms phase transitions0
Phase transition of descending phase retrieval algorithms0
H-QuEST: Accelerating Query-by-Example Spoken Term Detection with Hierarchical Indexing0
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation0
Fine-grained Image Retrieval via Dual-Vision Adaptation0
REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing0
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents0
Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach0
Veracity: An Open-Source AI Fact-Checking System0
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax TreeCode2
Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion0
AviationLLM: An LLM-based Knowledge System for Aviation Training0
ImpliRet: Benchmarking the Implicit Fact Retrieval ChallengeCode0
Refining music sample identification with a self-supervised graph neural networkCode1
RMIT-ADM+S at the SIGIR 2025 LiveRAG ChallengeCode1
InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking0
A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis0
EVA02-AT: Egocentric Video-Language Understanding with Spatial-Temporal Rotary Positional Embeddings and Symmetric OptimizationCode0
Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified