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 8801–8850 of 14297 papers

TitleStatusHype
FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval—0
Fourier ptychographic reconstruction using Poisson maximum likelihood and truncated Wirtinger gradient—0
Composition-Aware Image Aesthetics Assessment—0
Fourier Phase Retrieval with Extended Support Estimation via Deep Neural Network—0
Foundations of Vector Retrieval—0
Foundation Models and Information Retrieval in Digital Pathology—0
A Study of Neural Matching Models for Cross-lingual IR—0
Forward and Backward Feature Selection for Query Performance Prediction—0
Formal Language Knowledge Corpus for Retrieval Augmented Generation—0
A Study of Context Dependencies in Multi-page Product Search—0
Form 10-Q Itemization—0
Form 10-K Itemization—0
Forgetting leads to chaos in attractor networks—0
Compositional De-Attention Networks—0
A Study of Association Measures and their Combination for Arabic MWT Extraction—0
A learning framework for nearest neighbor search—0
A Latent Clothing Attribute Approach for Human Pose Estimation—0
ABC-SG: A New Artificial Bee Colony Algorithm-Based Distance of Sequential Data Using Sigma Grams—0
A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models—0
LawLLM: Law Large Language Model for the US Legal System—0
FOR: Finetuning for Object Level Open Vocabulary Image Retrieval—0
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks—0
A Structure-Aware Method for Direct Pose Estimation—0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
Composite Correlation Quantization for Efficient Multimodal Retrieval—0
Food recognition and recipe analysis: integrating visual content, context and external knowledge—0
Composite Code Sparse Autoencoders for first stage retrieval—0
A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness—0
FoodPuzzle: Developing Large Language Model Agents as Flavor Scientists—0
FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt—0
Composing Open-domain Vision with RAG for Ocean Monitoring and Conservation—0
Follow the Water: Finding Water, Snow and Clouds on Terrestrial Exoplanets with Photometry and Machine Learning—0
Compose Like Humans: Jointly Improving the Coherence and Novelty for Modern Chinese Poetry Generation—0
A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems—0
Actively Seeking and Learning from Live Data—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
Focus! Relevant and Sufficient Context Selection for News Image Captioning—0
A stochastic alternating minimizing method for sparse phase retrieval—0
Focused Clinical Query Understanding and Retrieval of Medical Snippets powered through a Healthcare Knowledge Graph—0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations—0
AsthmaBot: Multi-modal, Multi-Lingual Retrieval Augmented Generation For Asthma Patient Support—0
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition—0
FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning—0
FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM—0
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models—0
A STEP towards Interpretable Multi-Hop Reasoning:Bridge Phrase Identification and Query Expansion—0
Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning—0
ABC: Achieving Better Control of Multimodal Embeddings using VLMs—0
Flickr30K-CFQ: A Compact and Fragmented Query Dataset for Text-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