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 2201–2225 of 14297 papers

TitleStatusHype
Improving Evidence Retrieval for Automated Explainable Fact-CheckingCode1
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy MinimizationCode1
Keyphrase Extraction from Scientific Articles via Extractive SummarizationCode1
Analogous to Evolutionary Algorithm: Designing a Unified Sequence ModelCode1
Connecting Language and Vision for Natural Language-Based Vehicle RetrievalCode1
Learning Relation Alignment for Calibrated Cross-modal RetrievalCode1
Adaptive Nearest Neighbor Machine TranslationCode1
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person SearchCode1
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question AnsweringCode1
Neural Machine Translation with Monolingual Translation MemoryCode1
Retrieval Enhanced Model for Commonsense GenerationCode1
Fine-grained Post-training for Improving Retrieval-based Dialogue SystemsCode1
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-TrainingCode1
LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical ParametersCode1
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud RegistrationCode1
An Empirical Study of Vehicle Re-Identification on the AI City ChallengeCode1
Enhancing Cross-Sectional Currency Strategies by Context-Aware Learning to Rank with Self-AttentionCode1
Dual adversarial graph neural networks for multi-label cross-modal retrievalCode1
Prototype-supervised Adversarial Network for Targeted Attack of Deep HashingCode1
RetGen: A Joint framework for Retrieval and Grounded Text Generation ModelingCode1
Semantic Table Retrieval using Keyword and Table QueriesCode1
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge ManagementCode1
Retrieval-Free Knowledge-Grounded Dialogue Response Generation with AdaptersCode1
Video Corpus Moment Retrieval with Contrastive LearningCode1
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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