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 1901–1925 of 14297 papers

TitleStatusHype
Bi-directional Training for Composed Image Retrieval via Text Prompt LearningCode1
Patent Image Retrieval Using Cross-entropy-based Metric LearningCode1
Cross-Modal Retrieval: A Systematic Review of Methods and Future DirectionsCode1
Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric RetrievalsCode1
PeerQA: A Scientific Question Answering Dataset from Peer ReviewsCode1
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent AttentionCode1
Personalized Graph-Based Retrieval for Large Language ModelsCode1
CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQLCode1
Benchingmaking Large Langage Models in Biomedical Triple ExtractionCode1
PhantomWiki: On-Demand Datasets for Reasoning and Retrieval EvaluationCode1
Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal HashingCode1
C-RAG: Certified Generation Risks for Retrieval-Augmented Language ModelsCode1
PIR: Remote Sensing Image-Text Retrieval with Prior Instruction Representation LearningCode1
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving CarsCode1
Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous DecodingCode1
CREPE: A Convolutional Representation for Pitch EstimationCode1
PLOD: An Abbreviation Detection Dataset for Scientific DocumentsCode1
A Generic Visualization Approach for Convolutional Neural NetworksCode1
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationCode1
CREPE: Can Vision-Language Foundation Models Reason Compositionally?Code1
Polite Dialogue Generation Without Parallel DataCode1
Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge in Foundation ModelsCode1
Binary Embedding-based Retrieval at TencentCode1
Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?Code1
COUGH: A Challenge Dataset and Models for COVID-19 FAQ RetrievalCode1
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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