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 5351–5400 of 14297 papers

TitleStatusHype
Fast Loop Closure Detection via Binary Content—0
Fast Kronecker product kernel methods via generalized vec trick—0
Asking More Informative Questions for Grounded Retrieval—0
Graph Regularized Nonnegative Matrix Factorization for Data Representation—0
Fast Interactive Image Retrieval using large-scale unlabeled data—0
FastHybrid: A Hybrid Model for Efficient Answer Selection—0
Folksonomication: Predicting Tags for Movies from Plot Synopses Using Emotion Flow Encoded Neural Network—0
Composed Query Image Retrieval Using Locally Bounded Features—0
Fast Gumbel-Max Sketch and its Applications—0
Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization—0
COIN: Co-Cluster Infomax for Bipartite Graphs—0
Fast Generating A Large Number of Gumbel-Max Variables—0
Asking Clarifying Questions Based on Negative Feedback in Conversational Search—0
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks—0
Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval—0
GraphRAG under Fire—0
Faster Video Moment Retrieval with Point-Level Supervision—0
Food recognition and recipe analysis: integrating visual content, context and external knowledge—0
A Cross-Font Image Retrieval Network for Recognizing Undeciphered Oracle Bone Inscriptions—0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
Cognitive Prompts Using Guilford's Structure of Intellect Model—0
A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch—0
Fast Electromagnetic Validations of Large-Scale Digital Coding Metasurfaces Accelerated by Recurrence Rebuild and Retrieval Method—0
FOR: Finetuning for Object Level Open Vocabulary Image Retrieval—0
Fast Dictionary Matching for Content-based Image Retrieval—0
Cognitive Modeling of Semantic Fluency Using Transformers—0
Graph Neural Networks in Vision-Language Image Understanding: A Survey—0
Form 10-Q Itemization—0
Formal Language Knowledge Corpus for Retrieval Augmented Generation—0
Graph Reasoning for Question Answering with Triplet Retrieval—0
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems—0
Forward and Backward Feature Selection for Query Performance Prediction—0
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking—0
Group Generalized Mean Pooling for Vision Transformer—0
Foundations of Vector Retrieval—0
Fourier Phase Retrieval with Extended Support Estimation via Deep Neural Network—0
Fourier ptychographic reconstruction using Poisson maximum likelihood and truncated Wirtinger gradient—0
FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval—0
fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs—0
Fractal Descriptors of Texture Images Based on the Triangular Prism Dimension—0
Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model—0
FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs—0
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach—0
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction—0
Cognitively Inspired Components for Social Conversational Agents—0
FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos—0
Fréchet Distance for Offline Evaluation of Information Retrieval Systems with Sparse Labels—0
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks—0
A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning—0
Fast Barcode Retrieval for Consensus Contouring—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