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 51515175 of 14297 papers

TitleStatusHype
Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise LevelsCode0
Fast Supervised Discrete Hashing and its AnalysisCode0
Fast Supervised Hashing with Decision Trees for High-Dimensional DataCode0
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation LearningCode0
Dual-Path Convolutional Image-Text Embeddings with Instance LossCode0
Answer-based Adversarial Training for Generating Clarification QuestionsCode0
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based ChatbotsCode0
BT^2: Backward-compatible Training with Basis TransformationCode0
Dual-level Semantic Transfer Deep Hashing for Efficient Social Image RetrievalCode0
FLEURS: Few-shot Learning Evaluation of Universal Representations of SpeechCode0
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-IdentificationCode0
FIVR: Fine-grained Incident Video RetrievalCode0
FitCLIP: Refining Large-Scale Pretrained Image-Text Models for Zero-Shot Video Understanding TasksCode0
FixMyPose: Pose Correctional Captioning and RetrievalCode0
Ask the Right Questions: Active Question Reformulation with Reinforcement LearningCode0
FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal RetrievalCode0
Dual Encoding for Zero-Example Video RetrievalCode0
Dual Asymmetric Deep Hashing LearningCode0
Fine Tuning vs. Retrieval Augmented Generation for Less Popular KnowledgeCode0
DTOS: Dynamic Time Object Sensing with Large Multimodal ModelCode0
FinTral: A Family of GPT-4 Level Multimodal Financial Large Language ModelsCode0
DS-TOD: Efficient Domain Specialization for Task-Oriented DialogCode0
Collective Relevance Labeling for Passage RetrievalCode0
Feature Learning based Deep Supervised Hashing with Pairwise LabelsCode0
Adversarial Training for Code Retrieval with Question-Description Relevance RegularizationCode0
Show:102550
← PrevPage 207 of 572Next →

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