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 5751–5775 of 14297 papers

TitleStatusHype
Hypergraph Vision Transformers: Images are More than Nodes, More than Edges—0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis—0
GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features—0
GPT Semantic Cache: Reducing LLM Costs and Latency via Semantic Embedding Caching—0
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning—0
GPU-accelerated Hierarchical Panoramic Image Feature Retrieval for Indoor Localization—0
GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations—0
Hyperspherical Query Likelihood Models with Word Embeddings—0
FairRAG: Fair Human Generation via Fair Retrieval Augmentation—0
FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query Refinement—0
Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach—0
GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback—0
GrabQC: Graph based Query Contextualization for automated ICD coding—0
A system for information extraction from scientific texts in Russian—0
Graded Relevance Assessments and Graded Relevance Measures of NTCIR: A Survey of the First Twenty Years—0
Graded Relevance Scoring of Written Essays with Dense Retrieval—0
Gradient Augmented Information Retrieval with Autoencoders and Semantic Hashing—0
Code Retrieval for MILP Instance Generation—0
Continual Vision-Language Representation Learning with Off-Diagonal Information—0
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval—0
GradML: A Gradient-based Loss for Deep Metric Learning—0
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering—0
Grafit: Learning fine-grained image representations with coarse labels—0
Fairness in Ranking: A Survey—0
CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers—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