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 9551–9575 of 14297 papers

TitleStatusHype
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition—0
Latent Functional Maps: a spectral framework for representation alignment—0
Latent Space Embedding for Retrieval in Question-Answer Archives—0
Latent-variable Private Information Retrieval—0
LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models—0
LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval—0
LAVIS: A Library for Language-Vision Intelligence—0
LawngNLI: a multigranular, long-premise NLI benchmark for evaluating models’ in-domain generalization from short to long contexts—0
LawPal : A Retrieval Augmented Generation Based System for Enhanced Legal Accessibility in India—0
LawSum: A weakly supervised approach for Indian Legal Document Summarization—0
Layer-of-Thoughts Prompting (LoT): Leveraging LLM-Based Retrieval with Constraint Hierarchies—0
Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models—0
LayoutBERT: Masked Language Layout Model for Object Insertion—0
LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generation—0
LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents—0
LDOP: Local Directional Order Pattern for Robust Face Retrieval—0
LD-SDS: Towards an Expressive Spoken Dialogue System based on Linked-Data—0
LEAD: Liberal Feature-based Distillation for Dense Retrieval—0
LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System—0
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models—0
Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search—0
Learnable Skeleton-Aware 3D Point Cloud Sampling—0
Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning—0
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments—0
Learned Index with Dynamic—0
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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