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 8301–8325 of 14297 papers

TitleStatusHype
Continual Vision-Language Representation Learning with Off-Diagonal Information—0
Gradient Augmented Information Retrieval with Autoencoders and Semantic Hashing—0
Exploring the Practicality of Generative Retrieval on Dynamic Corpora—0
A Tale of Two Languages: Large-Vocabulary Continuous Sign Language Recognition from Spoken Language Supervision—0
Graded Relevance Scoring of Written Essays with Dense Retrieval—0
Graded Relevance Assessments and Graded Relevance Measures of NTCIR: A Survey of the First Twenty Years—0
GrabQC: Graph based Query Contextualization for automated ICD coding—0
Continual Lifelong Learning with Neural Networks: A Review—0
GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback—0
Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach—0
Continual learning in cross-modal retrieval—0
Continual Learning for Large Language Models: A Survey—0
A system for information extraction from scientific texts in Russian—0
A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval—0
Adapting LLMs for Efficient, Personalized Information Retrieval: Methods and Implications—0
Pseudo-Knowledge Graph: Meta-Path Guided Retrieval and In-Graph Text for RAG-Equipped LLM—0
SAKR: Enhancing Retrieval-Augmented Generation via Streaming Algorithm and K-Means Clustering—0
GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations—0
GPU-accelerated Hierarchical Panoramic Image Feature Retrieval for Indoor Localization—0
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning—0
Measuring Context-Word Biases in Lexical Semantic Datasets—0
GPT Semantic Cache: Reducing LLM Costs and Latency via Semantic Embedding Caching—0
GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features—0
Contextual Similarity Distillation for Asymmetric Image Retrieval—0
A Systematic Literature Review about Idea Mining: The Use of Machine-driven Analytics to Generate Ideas—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