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

Showing 76017625 of 14297 papers

TitleStatusHype
Claim Verification in the Age of Large Language Models: A Survey0
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat0
Differentiable Microscopy Designs an All Optical Phase Retrieval Microscope0
Learning User Representations for Open Vocabulary Image Hashtag Prediction0
Evaluation Evaluation a Monte Carlo study0
Bidirectional Retrieval Made Simple0
A Conceptual Framework for Implicit Evaluation of Conversational Search Interfaces0
Local Similarity-Aware Deep Feature Embedding0
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification0
Learning Visually Grounded Sentence Representations0
Learning Visual N-Grams from Web Data0
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays0
Differentiable Top-k Operator with Optimal Transport0
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA0
Évaluation des capacités de réponse de larges modèles de langage (LLM) pour des questions d'historiens0
Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition0
Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation0
Learning with Label Noise for Image Retrieval by Selecting Interactions0
Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval0
Learning with Noisy Correspondence0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer0
Learning with Noisy Triplet Correspondence for Composed Image Retrieval0
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval0
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity0
Evaluation-as-a-Service: Overview and Outlook0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified