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 13401–13450 of 14297 papers

TitleStatusHype
Unanswerability Evaluation for Retrieval Augmented Generation—0
Unary and Binary Classification Approaches and their Implications for Authorship Verification—0
WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generation—0
Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data—0
Unbiased Learning-to-Rank with Biased Feedback—0
Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks—0
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval—0
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval—0
Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval—0
Evidence-based Match-status-Aware Gait Recognition for Out-of-Gallery Gait Identification—0
Dynamic Visual Semantic Sub-Embeddings and Fast Re-Ranking—0
Uncertainty-aware sign language video retrieval with probability distribution modeling—0
Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations—0
Uncertainty in Extreme Multi-label Classification—0
Uncertainty in Neural Network Word Embedding: Exploration of Threshold for Similarity—0
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series—0
wMAN: WEAKLY-SUPERVISED MOMENT ALIGNMENT NETWORK FOR TEXT-BASED VIDEO SEGMENT RETRIEVAL—0
LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video Moment Retrieval—0
UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation—0
WNtags: A Web-Based Tool For Image Labeling And Retrieval With Lexical Ontologies—0
Ordinal Constrained Binary Code Learning for Nearest Neighbor Search—0
Ordering-sensitive and Semantic-aware Topic Modeling—0
Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction—0
Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing—0
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning—0
Understanding and Creating Art with AI: Review and Outlook—0
One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code—0
Order embeddings and character-level convolutions for multimodal alignment—0
Understanding and Optimizing Multi-Stage AI Inference Pipelines—0
Understanding and Predicting Characteristics of Test Collections in Information Retrieval—0
Ordered and Binary Speaker Embedding—0
Understanding Art through Multi-Modal Retrieval in Paintings—0
Understanding Attention for Vision-and-Language Tasks—0
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding—0
Understanding BERT Rankers Under Distillation—0
Understanding, Categorizing and Predicting Semantic Image-Text Relations—0
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search—0
Options-Aware Dense Retrieval for Multiple-Choice query Answering—0
Understanding HTML with Large Language Models—0
Zero-Shot Multi-Modal Artist-Controlled Retrieval and Exploration of 3D Object Sets—0
Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach—0
Understanding Inequality of LLM Fact-Checking over Geographic Regions with Agent and Retrieval models—0
Understanding Intra-Class Knowledge Inside CNN—0
Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen—0
Understanding Locally Competitive Networks—0
Understanding Mobile GUI: from Pixel-Words to Screen-Sentences—0
Understanding Mobile Search Task Relevance and User Behaviour in Context—0
Understanding news story chains using information retrieval and network clustering techniques—0
Understanding Privacy Risks of Embeddings Induced by Large Language Models—0
Understanding Retrieval Augmentation for Long-Form Question Answering—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