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 4726–4750 of 14297 papers

TitleStatusHype
Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems—0
Asymmetric Image Retrieval with Cross Model Compatible Ensembles—0
All in One Framework for Multimodal Re-identification in the Wild—0
Context-Enhanced Video Moment Retrieval with Large Language Models—0
Asymmetric Deep Supervised Hashing—0
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning—0
Context Embeddings for Efficient Answer Generation in RAG—0
Context-Efficient Retrieval with Factual Decomposition—0
Asymmetric Deep Semantic Quantization for Image Retrieval—0
Context Driven Scene Parsing with Attention to Rare Classes—0
Multi-Level Querying using A Knowledge Pyramid—0
Asymmetric Correlation Quantization Hashing for Cross-modal Retrieval—0
Context-Dependent Automatic Response Generation Using Statistical Machine Translation Techniques—0
AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation—0
ContextCLIP: Contextual Alignment of Image-Text pairs on CLIP visual representations—0
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval—0
FedVMR: A New Federated Learning method for Video Moment Retrieval—0
Fetch-A-Set: A Large-Scale OCR-Free Benchmark for Historical Document Retrieval—0
ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions—0
Context-aware Tree-based Deep Model for Recommender Systems—0
A Survey on Video Moment Localization—0
A Survey on Retrieval of Mathematical Knowledge—0
Context-Aware Search and Retrieval Over Erasure Channels—0
Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search—0
FedPandemic: A Cross-Device Federated Learning Approach Towards Elementary Prognosis of Diseases During a Pandemic—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