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 126150 of 14297 papers

TitleStatusHype
Retrieval Augmented Generation and Understanding in Vision: A Survey and New OutlookCode3
MDocAgent: A Multi-Modal Multi-Agent Framework for Document UnderstandingCode3
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation SystemCode3
SelaVPR++: Towards Seamless Adaptation of Foundation Models for Efficient Place RecognitionCode3
A Comprehensive Survey on Composed Image RetrievalCode3
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational PathsCode3
Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information RetrievalCode3
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented GenerationCode3
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal UnderstandingCode3
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare CopilotCode3
GFM-RAG: Graph Foundation Model for Retrieval Augmented GenerationCode3
Parametric Retrieval Augmented GenerationCode3
Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline SummarizationCode3
MegaPairs: Massive Data Synthesis For Universal Multimodal RetrievalCode3
Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language ModelsCode3
Video-RAG: Visually-aligned Retrieval-Augmented Long Video ComprehensionCode3
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG SystemsCode3
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning AgentCode3
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language ModelsCode3
Language-based Audio Moment RetrievalCode3
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented GenerationCode3
Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding ModelsCode3
LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance PropagationCode3
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented GenerationCode3
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token RecyclingCode3
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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