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 7951–7975 of 14297 papers

TitleStatusHype
Long-short Term Motion Feature for Action Classification and Retrieval—0
Long-Tail Crisis in Nearest Neighbor Language Models—0
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions—0
Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification—0
Convolutional Neural Associative Memories: Massive Capacity with Noise Tolerance—0
Attention as a Perspective for Learning Tempo-invariant Audio Queries—0
Hashing on Nonlinear Manifolds—0
Hashing in the Zero Shot Framework with Domain Adaptation—0
Hashing based Contrastive Learning for Virtual Screening—0
Look Before You Leap: Improving Text-based Person Retrieval by Learning A Consistent Cross-modal Common Manifold—0
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models—0
Convolutional Hashing for Automated Scene Matching—0
Look into the Future: Deep Contextualized Sequential Recommendation—0
LookupForensics: A Large-Scale Multi-Task Dataset for Multi-Phase Image-Based Fact Verification—0
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval—0
Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation—0
HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN—0
HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval—0
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models—0
Harvesting comparable corpora and mining them for equivalent bilingual sentences using statistical classification and analogy- based heuristics—0
Convex Phase Retrieval without Lifting via PhaseMax—0
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild—0
Attendre: Wait To Attend By Retrieval With Evicted Queries in Memory-Based Transformers for Long Context Processing—0
Lorentzian Distance Learning—0
HarriGT: A Tool for Linking News to Science—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