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 9451–9500 of 14297 papers

TitleStatusHype
Cluster-Aware Similarity Diffusion for Instance Retrieval—0
Cluster-Based Information Retrieval by using (K-means)- Hierarchical Parallel Genetic Algorithms Approach—0
Clustering Algorithms and RAG Enhancing Semi-Supervised Text Classification with Large LLMs—0
Clustering Analysis of Interactive Learning Activities Based on Improved BIRCH Algorithm—0
Clustering and Retrieval Method of Immunological Memory Cell in Clonal Selection Algorithm—0
Clustering Billions of Reads for DNA Data Storage—0
Clustering is Efficient for Approximate Maximum Inner Product Search—0
Cluster Language Model for Improved E-Commerce Retrieval and Ranking: Leveraging Query Similarity and Fine-Tuning for Personalized Results—0
Cluster-wise Unsupervised Hashing for Cross-Modal Similarity Search—0
CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning—0
CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System—0
CNN Based Hashing for Image Retrieval—0
CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval—0
CNNs with Multi-Level Attention for Domain Generalization—0
Coarse2Fine: Two-Layer Fusion For Image Retrieval—0
Coarse-to-fine Alignment Makes Better Speech-image Retrieval—0
Coarse-to-Fine Knowledge Selection for Document Grounded Dialogs—0
Coarse-to-Fine Query Focused Multi-Document Summarization—0
Coarse to Fine: Video Retrieval before Moment Localization—0
Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models—0
CoAVT: A Cognition-Inspired Unified Audio-Visual-Text Pre-Training Model for Multimodal Processing—0
Co-BERT: A Context-Aware BERT Retrieval Model Incorporating Local and Query-specific Context—0
CoBIT: A Contrastive Bi-directional Image-Text Generation Model—0
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation—0
COCOA: CBT-based Conversational Counseling Agent using Memory Specialized in Cognitive Distortions and Dynamic Prompt—0
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising—0
Codebook based Audio Feature Representation for Music Information Retrieval—0
Code-Craft: Hierarchical Graph-Based Code Summarization for Enhanced Context Retrieval—0
CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation—0
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training—0
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval—0
CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers—0
Code Retrieval for MILP Instance Generation—0
CodeSwift: Accelerating LLM Inference for Efficient Code Generation—0
Code-switched inspired losses for generic spoken dialog representations—0
Code-switched inspired losses for spoken dialog representations—0
Code to Comment "Translation": Data, Metrics, Baselining & Evaluation—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
Coding for Random Projections—0
Coding local and global binary visual features extracted from video sequences—0
Co-Embedding: Discovering Communities on Bipartite Graphs through Projection—0
COfEE: A Comprehensive Ontology for Event Extraction from text—0
Cognition and Reality—0
Cognitive-Aligned Document Selection for Retrieval-augmented Generation—0
Cognitive Dynamic Systems: A Technical Review of Cognitive Radar—0
Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics—0
Cognitively Inspired Components for Social Conversational Agents—0
Cognitive Modeling of Semantic Fluency Using Transformers—0
Cognitive Prompts Using Guilford's Structure of Intellect Model—0
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks—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