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

Showing 1415114200 of 14297 papers

TitleStatusHype
TVR-Ranking: A Dataset for Ranked Video Moment Retrieval with Imprecise QueriesCode0
Robust Compressive Phase Retrieval via Deep Generative PriorsCode0
TweetNERD -- End to End Entity Linking Benchmark for TweetsCode0
Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse RetrievalCode0
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?Code0
The Design and Implementation of a Real Time Visual Search System on JD E-commerce PlatformCode0
On the Reproducibility of Learned Sparse Retrieval Adaptations for Long DocumentsCode0
PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based RetrievalCode0
Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog SystemsCode0
Two are better than one: Context window extension with multi-grained self-injectionCode0
Pay attention to the activations: a modular attention mechanism for fine-grained image recognitionCode0
The Effectiveness of Graph Contrastive Learning on Mathematical Information RetrievalCode0
TWOLAR: a TWO-step LLM-Augmented distillation method for passage RerankingCode0
The Effect of Masking Strategies on Knowledge Retention by Language ModelsCode0
The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language ModelsCode0
W2VV++: Fully Deep Learning for Ad-hoc Video SearchCode0
Which Country Is This? Automatic Country Ranking of Street View PhotosCode0
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training BenchmarkCode0
Utterance Retrieval Based on Recurrent Surface Text PatternsCode0
Rationalizing Neural PredictionsCode0
Fine-Grained Argument Unit Recognition and ClassificationCode0
Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based ChatbotsCode0
Path planning for Robotic Mobile Fulfillment SystemsCode0
Robust Angular Synchronization via Directed Graph Neural NetworksCode0
RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation SystemsCode0
Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric BayesCode0
Risk Controlled Image RetrievalCode0
Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?Code0
Probabilistic Latent Semantic AnalysisCode0
Two-stage Visual Cues Enhancement Network for Referring Image SegmentationCode0
Two-Step Question Retrieval for Open-Domain QACode0
Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph WalksCode0
Two Video Data Sets for Tracking and Retrieval of Out of Distribution ObjectsCode0
Typed-RAG: Type-aware Multi-Aspect Decomposition for Non-Factoid Question AnsweringCode0
Typo-Robust Representation Learning for Dense RetrievalCode0
Riemann-based Multi-scale Attention Reasoning Network for Text-3D RetrievalCode0
Typos-aware Bottlenecked Pre-Training for Robust Dense RetrievalCode0
The Group Loss for Deep Metric LearningCode0
RARe: Retrieval Augmented Retrieval with In-Context ExamplesCode0
The Historical Significance of Textual DistancesCode0
Past Meets Present: Creating Historical Analogy with Large Language ModelsCode0
UCDR-Adapter: Exploring Adaptation of Pre-Trained Vision-Language Models for Universal Cross-Domain RetrievalCode0
Validating Simulations of User Query VariantsCode0
RaP: Redundancy-aware Video-language Pre-training for Text-Video RetrievalCode0
RAPID: Retrieval Augmented Training of Differentially Private Diffusion ModelsCode0
The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-throughCode0
RankQA: Neural Question Answering with Answer Re-RankingCode0
Rank-K: Test-Time Reasoning for Listwise RerankingCode0
Revisiting Semantic Representation and Tree Search for Similar Question RetrievalCode0
UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language ModelsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified