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 18511875 of 14297 papers

TitleStatusHype
Harnessing High-Level Song Descriptors towards Natural Language-Based Music RecommendationCode0
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking0
Enhancing Cluster Resilience: LLM-agent Based Autonomous Intelligent Cluster Diagnosis System and Evaluation Framework0
Deploying Large Language Models With Retrieval Augmented GenerationCode0
Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation0
Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks?0
LLM2CLIP: Powerful Language Model Unlocks Richer Visual RepresentationCode4
Towards Competitive Search Relevance For Inference-Free Learned Sparse RetrieversCode1
DNN-based 3D Cloud Retrieval for Variable Solar Illumination and Multiview Spaceborne Imaging0
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing RetrievalCode0
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding0
RetrieveGPT: Merging Prompts and Mathematical Models for Enhanced Code-Mixed Information Retrieval0
Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information RetrievalCode2
HourVideo: 1-Hour Video-Language UnderstandingCode2
OneProt: Towards Multi-Modal Protein Foundation ModelsCode1
Input-Driven Dynamics for Robust Memory Retrieval in Hopfield NetworksCode0
LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration0
Advanced RAG Models with Graph Structures: Optimizing Complex Knowledge Reasoning and Text Generation0
Select2Plan: Training-Free ICL-Based Planning through VQA and Memory Retrieval0
Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation0
Reproducible Hybrid Time-Travel Retrieval in Evolving Corpora0
Data Fusion of Synthetic Query Variants With Generative Large Language ModelsCode0
JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs0
Bridging Personalization and Control in Scientific Personalized Search0
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning AgentCode3
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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