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 5851–5900 of 14297 papers

TitleStatusHype
Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval—0
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval—0
AD-GPT: Large Language Models in Alzheimer's Disease—0
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing—0
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification—0
DeepShape: Deep Learned Shape Descriptor for 3D Shape Matching and Retrieval—0
An Empirical Study of Frame Selection for Text-to-Video Retrieval—0
Deep Sequence Models for Text Classification Tasks—0
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval—0
Benchmarking unsupervised near-duplicate image detection—0
An Empirical Study of Excitation and Aggregation Design Adaptions in CLIP4Clip for Video-Text Retrieval—0
A Chaotic Associative Memory—0
Deep Semi-Supervised Metric Learning With Mixed Label Propagation—0
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval—0
Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning—0
Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals—0
Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval—0
Deep Semantic Hashing with Generative Adversarial Networks—0
Deep Semantic Correlation Learning Based Hashing for Multimedia Cross-Modal Retrieval—0
Deep Self-Adaptive Hashing for Image Retrieval—0
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness—0
DeepSeek: Content Based Image Search & Retrieval—0
Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation—0
Benchmarking Retrieval-Augmented Generation for Chemistry—0
Deep scattering transform applied to note onset detection and instrument recognition—0
Deep Saliency Hashing—0
An Empirical Study of ADMM for Nonconvex Problems—0
Deep Robust Multilevel Semantic Cross-Modal Hashing—0
Benchmarking Pretrained Vision Embeddings for Near- and Duplicate Detection in Medical Images—0
An Empirical Exploration of Open-Set Recognition via Lightweight Statistical Pipelines—0
A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval—0
Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction—0
Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion—0
From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories—0
What Do Single-view 3D Reconstruction Networks Learn?—0
Co-regularized Multi-view Sparse Reconstruction Embedding for Dimension Reduction—0
Deep Retrieval-Based Dialogue Systems: A Short Review—0
Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking—0
Benchmarking Poisoning Attacks against Retrieval-Augmented Generation—0
Deep Retrieval: An End-to-End Structure Model for Large-Scale Recommendations—0
Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations—0
Benchmarking PathCLIP for Pathology Image Analysis—0
An Empirical Comparison of Video Frame Sampling Methods for Multi-Modal RAG Retrieval—0
Deep Residual Hashing—0
DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research—0
Deep Representation Learning and Clustering of Traffic Scenarios—0
An Empirical Comparison of LM-based Question and Answer Generation Methods—0
A Deep Reinforcement Learning Chatbot (Short Version)—0
Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles—0
Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing—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