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 5126–5150 of 14297 papers

TitleStatusHype
AI-Supported Platform for System Monitoring and Decision-Making in Nuclear Waste Management with Large Language Models—0
Action-Centered Information Retrieval—0
Generating Compositional Color Representations from Text—0
Generating Media Background Checks for Automated Source Critical Reasoning—0
Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings—0
Color Counting for Fashion, Art, and Design—0
whu-nercms at trecvid2021:instance search task—0
Color and Shape Content Based Image Classification using RBF Network and PSO Technique: A Survey—0
A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval—0
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces—0
A Social Search Model for Large Scale Social Networks—0
Collective Matrix Factorization Hashing for Multimodal Data—0
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition—0
Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence—0
Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework—0
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation—0
IoT Network Security from the Perspective of Adversarial Deep Learning—0
Collaborative Visual Place Recognition through Federated Learning—0
Collaborative Summarization of Topic-Related Videos—0
AirRAG: Activating Intrinsic Reasoning for Retrieval Augmented Generation via Tree-based Search—0
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search—0
Collaborative Semantic Communication for Edge Inference—0
Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search—0
Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook Marketplace—0
Ask Me What You Need: Product Retrieval using Knowledge from GPT-3—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