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 8701–8725 of 14297 papers

TitleStatusHype
Concept Based vs. Pseudo Relevance Feedback Performance Evaluation for Information Retrieval System—0
From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search—0
Concept-aware Geographic Information Retrieval—0
From Scattered Sources to Comprehensive Technology Landscape: A Recommendation-based Retrieval Approach—0
Concentric network symmetry grasps authors' styles in word adjacency networks—0
A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic—0
A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission—0
From Retrieval to Generation: Efficient and Effective Entity Set Expansion—0
From Retrieval to Generation: Comparing Different Approaches—0
ConaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval—0
ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry—0
Assessing the behavior and performance of a supervised term-weighting technique for topic-based retrieval—0
From RAG to RICHES: Retrieval Interlaced with Sequence Generation—0
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents—0
Computing with Cognitive States—0
A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features—0
From RAGs to riches: Using large language models to write documents for clinical trials—0
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources—0
Computing Lexical Contrast—0
From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews—0
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval—0
A Summary of the ALQAC 2021 Competition—0
From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems—0
Computationally Bounded Retrieval—0
A Sub-block Based Image Retrieval Using Modified Integrated Region Matching—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