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 801–825 of 14297 papers

TitleStatusHype
Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key EstimationCode1
An Adversarial Imitation Click Model for Information RetrievalCode1
Dense Passage Retrieval for Open-Domain Question AnsweringCode1
Dense Relational Image Captioning via Multi-task Triple-Stream NetworksCode1
Deep Evidential Learning with Noisy Correspondence for Cross-Modal RetrievalCode1
Dense X Retrieval: What Retrieval Granularity Should We Use?Code1
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment PathsCode1
Deep Complex NetworksCode1
Analogous to Evolutionary Algorithm: Designing a Unified Sequence ModelCode1
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMsCode1
A Data-Centric Framework for Composable NLP WorkflowsCode1
DialFact: A Benchmark for Fact-Checking in DialogueCode1
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot LearningCode1
Dialog Inpainting: Turning Documents into DialogsCode1
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Decouple knowledge from parameters for plug-and-play language modelingCode1
A Data-Driven Methodology for Considering Feasibility and Pairwise Likelihood in Deep Learning Based Guitar Tablature Transcription SystemsCode1
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate HallucinationsCode1
Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video RetrievalCode1
Adaptive Re-Ranking with a Corpus GraphCode1
Deconfounded Video Moment Retrieval with Causal InterventionCode1
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text RetrievalCode1
Decoupling Strategy and Generation in Negotiation DialoguesCode1
Disentangled Modeling of Domain and Relevance for Adaptable Dense RetrievalCode1
Deep metric learning using Triplet networkCode1
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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