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 9601–9625 of 14297 papers

TitleStatusHype
Concept-aware Geographic Information Retrieval—0
Concept Based vs. Pseudo Relevance Feedback Performance Evaluation for Information Retrieval System—0
ConceptCarve: Dynamic Realization of Evidence—0
Concept Embedding for Information Retrieval—0
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes—0
Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network—0
Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy—0
CONDITOR1: Topic Maps and DITA labelling tool for textual documents with historical information—0
Cone-Constrained Principal Component Analysis—0
Confidence-Calibrated Ensemble Dense Phrase Retrieval—0
Confidence-guided Centroids for Unsupervised Person Re-Identification—0
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track—0
ConfusedPilot: Confused Deputy Risks in RAG-based LLMs—0
Congruency-Based Reranking—0
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices—0
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing—0
Connecting Images through Time and Sources: Introducing Low-data, Heterogeneous Instance Retrieval—0
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Consistent Classification Algorithms for Multi-class Non-Decomposable Performance Metrics—0
Consistent Polyhedral Surrogates for Top-k Classification and Variants—0
Constant-Expansion Suffices for Compressed Sensing with Generative Priors—0
ConSTR: A Contextual Search Term Recommender—0
Constrained Auto-Regressive Decoding Constrains Generative Retrieval—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