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 8151–8175 of 14297 papers

TitleStatusHype
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements?—0
Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents—0
MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover—0
Matrix Factorization-Based Clustering Of Image Features For Bandwidth-Constrained Information Retrieval—0
CHIC: Corporate Document for Visual question Answering—0
Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models—0
DoQA - Accessing Domain-Specific FAQs via Conversational QA—0
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources—0
MLLM as Video Narrator: Mitigating Modality Imbalance in Video Moment Retrieval—0
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle—0
Mixing realities for sketch retrieval in Virtual Reality—0
Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users—0
Establishing a Foundation for Tetun Ad-Hoc Text Retrieval: Stemming, Indexing, Retrieval, and Ranking—0
Max-C and Min-D Projection Autoassociative Fuzzy Morphological Memories: Theory and an Application for Face Recognition—0
Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval—0
Maximizing Use-Case Specificity through Precision Model Tuning—0
Chemical detection and indexing in PubMed full text articles using deep learning and rule-based methods—0
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data—0
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift—0
Maximum-Margin Hamming Hashing—0
ESGReveal: An LLM-based approach for extracting structured data from ESG reports—0
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits—0
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems—0
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model—0
Aggregated Deep Local Features for Remote Sensing Image Retrieval—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