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 2676–2700 of 14297 papers

TitleStatusHype
Personalization of Dataset Retrieval Results using a Metadata-based Data Valuation Method—0
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors—0
Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment RetrievalCode2
Assessing Brittleness of Image-Text Retrieval Benchmarks from Vision-Language Models Perspective—0
Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation—0
Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base—0
Automatic Generation of Fashion Images using Prompting in Generative Machine Learning ModelsCode0
ECRTime: Ensemble Integration of Classification and Retrieval for Time Series Classification—0
Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection—0
LAPIS: Language Model-Augmented Police Investigation System—0
Adversarial Databases Improve Success in Retrieval-based Large Language Models—0
Multimodal Misinformation Detection using Large Vision-Language Models—0
AuditNet: A Conversational AI-based Security Assistant [DEMO]—0
Multi-modal Relation Distillation for Unified 3D Representation Learning—0
Unipa-GPT: Large Language Models for university-oriented QA in ItalianCode0
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question AnsweringCode2
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals—0
Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models—0
Multi-sentence Video Grounding for Long Video Generation—0
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data—0
Retrieval-Augmented Generation for Natural Language Processing: A Survey—0
Visual Haystacks: A Vision-Centric Needle-In-A-Haystack BenchmarkCode1
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn—0
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach—0
R+X: Retrieval and Execution from Everyday Human Videos—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