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 6201–6225 of 14297 papers

TitleStatusHype
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need—0
Datasets for Multilingual Answer Sentence Selection—0
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent—0
Analyzing Local Representations of Self-supervised Vision Transformers—0
Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality—0
Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs—0
Auto-MVCNN: Neural Architecture Search for Multi-view 3D Shape Recognition—0
Dataset of Natural Language Queries for E-Commerce—0
Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval—0
Analyzing Language Learned by an Active Question Answering Agent—0
DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent—0
Analyzing Hong Kong's Legal Judgments from a Computational Linguistics point-of-view—0
DataOps for Societal Intelligence: a Data Pipeline for Labor Market Skills Extraction and Matching—0
Data Mining of Causal Relations from Text: Analysing Maritime Accident Investigation Reports—0
Data Management Challenges for Internet-scale 3D Search Engines—0
Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran—0
AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments—0
Data leakage in cross-modal retrieval training: A case study—0
Data Infrastructure and Approaches for Ontology-Based Drug Repurposing—0
Automating Legal Concept Interpretation with LLMs: Retrieval, Generation, and Evaluation—0
Automating Horizon Scanning in Future Studies—0
Analyzing and Learning from User Interactions for Search Clarification—0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—0
Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models—0
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation—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