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 3801–3825 of 14297 papers

TitleStatusHype
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense RetrievalCode0
Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
Iterative NLP Query Refinement for Enhancing Domain-Specific Information Retrieval: A Case Study in Career ServicesCode0
ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented GenerationCode0
Primal-Dual Block Generalized Frank-WolfeCode0
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachCode0
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG SystemsCode0
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image RetrievalCode0
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial GameCode0
Privacy-Preserved Neural Graph DatabasesCode0
Continual Learning of Long Topic Sequences in Neural Information RetrievalCode0
Isotropic Representation Can Improve Dense RetrievalCode0
Is Non-IID Data a Threat in Federated Online Learning to Rank?Code0
It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug ReportsCode0
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020Code0
KATE: K-Competitive Autoencoder for TextCode0
Continual Learning for Generative Retrieval over Dynamic CorporaCode0
A System for Comprehensive Assessment of RAG FrameworksCode0
Bilingual BSARD: Extending Statutory Article Retrieval to DutchCode0
I run as fast as a rabbit, can you? A Multilingual Simile Dialogue DatasetCode0
Context Unaware Knowledge Distillation for Image RetrievalCode0
ir_metadata: An Extensible Metadata Schema for IR ExperimentsCode0
IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation ScenariosCode0
Is ChatGPT a Biomedical Expert? -- Exploring the Zero-Shot Performance of Current GPT Models in Biomedical TasksCode0
Contextual Recurrent Neural NetworksCode0
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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