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 10176–10200 of 14297 papers

TitleStatusHype
Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing—0
Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval—0
Memory-enhanced Retrieval Augmentation for Long Video Understanding—0
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models—0
Memory Recall and Spike Frequency Adaptation—0
Memory retrieval dynamics and storage capacity of a modular network model of association cortex with featural decomposition—0
MEMORY-VQ: Compression for Tractable Internet-Scale Memory—0
Merchandise Recommendation for Retail Events with Word Embedding Weighted Tf-idf and Dynamic Query Expansion—0
MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query—0
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference—0
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline—0
MeSH-based dataset for measuring the relevance of text retrieval—0
MeshVPR: Citywide Visual Place Recognition Using 3D Meshes—0
MES-Loss: Mutually equidistant separation metric learning loss function—0
MessIRve: A Large-Scale Spanish Information Retrieval Dataset—0
MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models—0
MetaCLUE: Towards Comprehensive Visual Metaphors Research—0
Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Models—0
Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach—0
MetaDIP: Accelerating Deep Image Prior with Meta Learning—0
Meta-Inductive Node Classification across Graphs—0
Meta Knowledge for Retrieval Augmented Large Language Models—0
Meta-Learning Deep Energy-Based Memory Models—0
Meta-prompting Optimized Retrieval-augmented Generation—0
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning—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