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 46514675 of 14297 papers

TitleStatusHype
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information RetrievalCode0
Entity-Consistent End-to-end Task-Oriented Dialogue System with KB RetrieverCode0
Hashing with Binary Matrix PursuitCode0
Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue GenerationCode0
Hashing with Mutual InformationCode0
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion AugmentationCode0
HashNet: Deep Learning to Hash by ContinuationCode0
Hash Function Learning via CodewordsCode0
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge GapsCode0
Hashing as Tie-Aware Learning to RankCode0
Harnessing High-Level Song Descriptors towards Natural Language-Based Music RecommendationCode0
Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publicationsCode0
Hashing with binary autoencodersCode0
Introducing Information Retrieval for Biomedical Informatics StudentsCode0
Heterogenous Memory Augmented Neural NetworksCode0
HIRO: Hierarchical Information Retrieval OptimizationCode0
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity LearningCode0
Entropic Hetero-Associative MemoryCode0
Handling Massive N-Gram Datasets EfficientlyCode0
Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 SurprisalCode0
Harmonized Multimodal Learning with Gaussian Process Latent Variable ModelsCode0
Hadamard Wirtinger Flow for Sparse Phase RetrievalCode0
HaluEval-Wild: Evaluating Hallucinations of Language Models in the WildCode0
InvGC: Robust Cross-Modal Retrieval by Inverse Graph ConvolutionCode0
Harnessing Abstractive Summarization for Fact-Checked Claim DetectionCode0
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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