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 4651–4675 of 14297 papers

TitleStatusHype
Contrastive Language, Action, and State Pre-training for Robot Learning—0
Contrastive Feature Masking Open-Vocabulary Vision Transformer—0
A Long-Tail Friendly Representation Framework for Artist and Music Similarity—0
FastRAG: Retrieval Augmented Generation for Semi-structured Data—0
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval—0
Contrastive Document Representation Learning with Graph Attention Networks—0
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval—0
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification—0
ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models—0
ALOHA: Empowering Multilingual Agent for University Orientation with Hierarchical Retrieval—0
Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories—0
A Task-Oriented Dialogue Architecture via Transformer Neural Language Models and Symbolic Injection—0
A logical representation of Arabic questions toward automatic passage extraction from the Web—0
Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers—0
Continuous Approach to Phase (Norm) Retrieval Frames—0
Continuous Active Learning Using Pretrained Transformers—0
A Tale of Two Languages: Large-Vocabulary Continuous Sign Language Recognition from Spoken Language Supervision—0
Continual Vision-Language Representation Learning with Off-Diagonal Information—0
Exploring the Practicality of Generative Retrieval on Dynamic Corpora—0
A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval—0
Pseudo-Knowledge Graph: Meta-Path Guided Retrieval and In-Graph Text for RAG-Equipped LLM—0
Continual Lifelong Learning with Neural Networks: A Review—0
A system for information extraction from scientific texts in Russian—0
Adapting LLMs for Efficient, Personalized Information Retrieval: Methods and Implications—0
Continual learning in cross-modal 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