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 3501–3525 of 14297 papers

TitleStatusHype
Language-Agnostic Visual-Semantic EmbeddingsCode0
MultiGrain: a unified image embedding for classes and instancesCode0
COV19IR : COVID-19 Domain Literature Information RetrievalCode0
LAMV: Learning to Align and Match Videos With Kernelized Temporal LayersCode0
Ladder Loss for Coherent Visual-Semantic EmbeddingCode0
Label Consistent Fisher Vectors for Supervised Feature AggregationCode0
Counterfactual Query Rewriting to Use Historical Relevance FeedbackCode0
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible RepresentationsCode0
Deep Learning for Fine-Grained Image Analysis: A SurveyCode0
Deep Learning for Hand Gesture Recognition on Skeletal DataCode0
Language Models as Knowledge Bases for Visual Word Sense DisambiguationCode0
Multilevel Language and Vision Integration for Text-to-Clip RetrievalCode0
Bayesian multi-exposure image fusion for robust high dynamic range ptychographyCode0
Evaluating Multilingual Long-Context Models for Retrieval and ReasoningCode0
AMIL: Adversarial Multi Instance Learning for Human Pose EstimationCode0
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph GenerationCode0
A Tutorial on Deep Learning for Music Information RetrievalCode0
Multilingual Previously Fact-Checked Claim RetrievalCode0
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive QueriesCode0
KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue GenerationCode0
Knowledge-Retrieval Task-Oriented Dialog Systems with Semi-SupervisionCode0
CoSPLADE: Contextualizing SPLADE for Conversational Information RetrievalCode0
Attribute or Abstain: Large Language Models as Long Document AssistantsCode0
Knowledge graphs for empirical concept retrievalCode0
Contextual Knowledge Pursuit for Faithful Visual SynthesisCode0
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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