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 576–600 of 14297 papers

TitleStatusHype
DiffCLIP: Differential Attention Meets CLIPCode2
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement LearningCode2
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based RetrieversCode2
BIRB: A Generalization Benchmark for Information Retrieval in BioacousticsCode2
InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information RetrievalCode2
INQUIRE: A Natural World Text-to-Image Retrieval BenchmarkCode2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language ModelsCode2
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmarkCode2
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsCode2
Detect-Order-Construct: A Tree Construction based Approach for Hierarchical Document Structure AnalysisCode2
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningCode2
Demystifying and Enhancing the Efficiency of Large Language Model Based Search AgentsCode2
Content-Based Search for Deep Generative ModelsCode2
Dense Text Retrieval based on Pretrained Language Models: A SurveyCode2
Knowledge Graph-Guided Retrieval Augmented GenerationCode2
Knowledge Graph Prompting for Multi-Document Question AnsweringCode2
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal ServicesCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive ReviewCode2
BioBridge: Bridging Biomedical Foundation Models via Knowledge GraphsCode1
Deep metric learning using Triplet networkCode1
Deep Evidential Learning with Noisy Correspondence for Cross-Modal RetrievalCode1
BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational BioimagingCode1
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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