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 701–725 of 14297 papers

TitleStatusHype
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations—0
Information Retrieval for Climate Impact—0
AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems—0
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework—0
Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing—0
Scaling Prompt Instructed Zero Shot Composed Image Retrieval with Image-Only Data—0
Beyond Quacking: Deep Integration of Language Models and RAG into DuckDBCode3
LLM-Assisted Proactive Threat Intelligence for Automated Reasoning—0
InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation SystemCode1
UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented GenerationCode9
Music Information Retrieval on Representative Mexican Folk Vocal Melodies Through MIDI Feature Extraction—0
Aud-Sur: An Audio Analyzer Assistant for Audio Surveillance Applications—0
Text2Tracks: Prompt-based Music Recommendation via Generative RetrievalCode0
Combining Query Performance Predictors: A Reproducibility StudyCode0
Multi-Task Learning for Extracting Menstrual Characteristics from Clinical Notes—0
On the Reproducibility of Learned Sparse Retrieval Adaptations for Long DocumentsCode0
A robot-assisted pipeline to rapidly scan 1.7 million historical aerial photographs—0
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization—0
A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG—0
Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure—0
Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge EnhancementCode2
Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation—0
RARE: Retrieval-Augmented Reasoning ModelingCode2
SCORE: Story Coherence and Retrieval Enhancement for AI Narratives—0
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering—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