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 8351–8375 of 14297 papers

TitleStatusHype
3D scene reconstruction from monocular spherical video with motion parallax—0
Enhancing Multilingual Information Retrieval in Mixed Human Resources Environments: A RAG Model Implementation for Multicultural Enterprise—0
Enhancing Multi-Image Question Answering via Submodular Subset Selection—0
Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training—0
Enhancing Model Performance in Multilingual Information Retrieval with Comprehensive Data Engineering Techniques—0
Enhancing Long-Term Memory using Hierarchical Aggregate Tree for Retrieval Augmented Generation—0
Challenging deep image descriptors for retrieval in heterogeneous iconographic collections—0
Enhancing Long Context Performance in LLMs Through Inner Loop Query Mechanism—0
Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System—0
Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval—0
Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals—0
Enhancing LLM Intelligence with ARM-RAG: Auxiliary Rationale Memory for Retrieval Augmented Generation—0
Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine—0
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval—0
Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models—0
Challenges in Generalization in Open Domain Question Answering—0
Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering—0
A Comprehensive Survey on AI-based Methods for Patents—0
Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately—0
Enhancing LambdaMART Using Oblivious Trees—0
Agentic AI-Driven Technical Troubleshooting for Enterprise Systems: A Novel Weighted Retrieval-Augmented Generation Paradigm—0
Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access—0
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog—0
Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System—0
Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI—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