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 65516575 of 14297 papers

TitleStatusHype
Cross-Modality Personalization for Retrieval0
Inductive-Biases for Contrastive Learning of Disentangled Representations0
Improving Access to Trade and Investment Information in Thailand through Intelligent Document Retrieval0
Improve Supervised Representation Learning with Masked Image Modeling0
Improve Retrieval-based Dialogue System via Syntax-Informed Attention0
INDUS: Effective and Efficient Language Models for Scientific Applications0
Improved Visual Localization via Graph Smoothing0
Cross-Modality Binary Code Learning via Fusion Similarity Hashing0
InFact: A Strong Baseline for Automated Fact-Checking0
Infant Agent: A Tool-Integrated, Logic-Driven Agent with Cost-Effective API Usage0
Autoencoding the Retrieval Relevance of Medical Images0
Improved Topic modeling in Twitter through Community Pooling0
Inference for Regression with Variables Generated by AI or Machine Learning0
Inference in High-Dimensional Linear Regression via Lattice Basis Reduction and Integer Relation Detection0
Improved Text-Image Matching by Mitigating Visual Semantic Hubs0
Inference Scaling for Long-Context Retrieval Augmented Generation0
Improved Search in Hamming Space using Deep Multi-Index Hashing0
Improved Radar Localization on Lidar Maps Using Shared Embedding0
Cross-modal Image Retrieval with Deep Mutual Information Maximization0
Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing0
Inflate and Shrink:Enriching and Reducing Interactions for Fast Text-Image Retrieval0
Improved Hamming Distance Search Using Variable Length Substrings0
Cross-Modal Hamming Hashing0
InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation0
AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs0
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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