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 11901–11950 of 14297 papers

TitleStatusHype
Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network—0
Show, Recall, and Tell: Image Captioning with Recall Mechanism—0
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data—0
Visual-Interactive Similarity Search for Complex Objects by Example of Soccer Player Analysis—0
SHREC 2020 track: 6D Object Pose Estimation—0
Visualiza \~ao de gloss\'ario em sistemas de recupera \~ao de informa \~ao (Glossary visualization in information retrieval systems)[In Portuguese]—0
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild—0
SHREWD: Semantic Hierarchy-based Relational Embeddings for Weakly-supervised Deep Hashing—0
SHREWD: Semantic Hierarchy Based Relational Embeddings For Weakly-Supervised Deep Hashing—0
Predicting Relevance based on Assessor Disagreement: Analysis and Practical Applications for Search Evaluation—0
Siamese Content-based Search Engine for a More Transparent Skin and Breast Cancer Diagnosis through Histological Imaging—0
Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval—0
SiameseQAT: A Semantic Context-Based Duplicate Bug Report Detection Using Replicated Cluster Information—0
Predicting Movie Hits Before They Happen with LLMs—0
Predicting Item Survival for Multiple Choice Questions in a High-Stakes Medical Exam—0
Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research Directions—0
On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation—0
Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data—0
Yes, BM25 is a Strong Baseline for Legal Case Retrieval—0
Signal Recovery with Non-Expansive Generative Network Priors—0
Signal retrieval with measurement system knowledge using variational generative model—0
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning—0
Predicting IR Personalization Performance using Pre-retrieval Query Predictors—0
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard—0
Sign Language Video Retrieval with Free-Form Textual Queries—0
SignRep: Enhancing Self-Supervised Sign Representations—0
SILC: Improving Vision Language Pretraining with Self-Distillation—0
Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering—0
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval—0
Predicting Empirical AI Research Outcomes with Language Models—0
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search—0
Similarity Comparisons for Interactive Fine-Grained Categorization—0
Similarity Function Tracking using Pairwise Comparisons—0
Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis—0
Similarity Guided Deep Face Image Retrieval—0
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts—0
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval—0
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval—0
Visual link retrieval and knowledge discovery in painting datasets—0
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval—0
Simple and Efficient ways to Improve REALM—0
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection—0
Visual Localization Using Semantic Segmentation and Depth Prediction—0
Predicting Document Coverage for Relation Extraction—0
Simple Compounded-Label Training for Fact Extraction and Verification—0
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute—0
Precision-Recall Balanced Topic Modelling—0
Simple Domain Adaptation for Sparse Retrievers—0
Precise Information Retrieval Exploiting Predicate-Argument Structures—0
Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models—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