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 46764700 of 14297 papers

TitleStatusHype
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource LanguagesCode0
Harnessing Evolution of Multi-Turn Conversations for Effective Answer RetrievalCode0
Equivariant Multi-View NetworksCode0
Harnessing Abstractive Summarization for Fact-Checked Claim DetectionCode0
Harnessing High-Level Song Descriptors towards Natural Language-Based Music RecommendationCode0
Hashing with Mutual InformationCode0
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity LearningCode0
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment AnalysisCode0
Are Large Language Models Good at Utility Judgments?Code0
Handling Massive N-Gram Datasets EfficientlyCode0
HaluEval-Wild: Evaluating Hallucinations of Language Models in the WildCode0
Harmonized Multimodal Learning with Gaussian Process Latent Variable ModelsCode0
HashNet: Deep Learning to Hash by ContinuationCode0
Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case DistinctionsCode0
JAZZVAR: A Dataset of Variations found within Solo Piano Performances of Jazz Standards for Music OverpaintingCode0
Error-margin Analysis for Hidden Neuron Activation LabelsCode0
JIR-Arena: The First Benchmark Dataset for Just-in-time Information RecommendationCode0
ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image RetrievalCode0
Embedded Named Entity Recognition using Probing ClassifiersCode0
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric LearningCode0
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural NetworksCode0
Guided Similarity Separation for Image RetrievalCode0
GROWN+UP: A Graph Representation Of a Webpage Network Utilizing Pre-trainingCode0
Case-Based Reasoning with Language Models for Classification of Logical FallaciesCode0
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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