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 4676–4700 of 14297 papers

TitleStatusHype
Continual Learning for Large Language Models: A Survey—0
SAKR: Enhancing Retrieval-Augmented Generation via Streaming Algorithm and K-Means Clustering—0
Feature Extraction in Augmented Reality—0
Feature-Independent Context Estimation for Automatic Image Annotation—0
Federated One-Shot Learning with Data Privacy and Objective-Hiding—0
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating—0
Measuring Context-Word Biases in Lexical Semantic Datasets—0
Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models—0
A Systematic Literature Review about Idea Mining: The Use of Machine-driven Analytics to Generate Ideas—0
Contextual Similarity Distillation for Asymmetric Image Retrieval—0
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges—0
FCA_Retrieval: A Multi-operator Algorithm for Information Retrieval from Binary Concept Lattice—0
How Does Knowledge Selection Help Retrieval Augmented Generation?—0
Almanac: Retrieval-Augmented Language Models for Clinical Medicine—0
Contextual Mood Analysis with Knowledge Graph Representation for Hindi Song Lyrics in Devanagari Script—0
Contextual Memory Trees—0
A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG—0
FAUST: Dataset and Evaluation for 3D Mesh Registration—0
FCC: Fusing Conversation History and Candidate Provenance for Contextual Response Ranking in Dialogue Systems—0
Contextual Media Retrieval Using Natural Language Queries—0
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset—0
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation—0
Fast 3D point clouds retrieval for Large-scale 3D Place Recognition—0
Async Learned User Embeddings for Ads Delivery Optimization—0
Contextualized Query Embeddings for Conversational Search—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