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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6251–6275 of 14297 papers

TitleStatusHype
Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey—0
Image2song: Song Retrieval via Bridging Image Content and Lyric Words—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Image Annotation Incorporating Low-Rankness, Tag and Visual Correlation and Inhomogeneous Errors—0
Exploring the Nexus Between Retrievability and Query Generation Strategies—0
Cluster Language Model for Improved E-Commerce Retrieval and Ranking: Leveraging Query Similarity and Fine-Tuning for Personalized Results—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
Mapping, Localization and Path Planning for Image-based Navigation using Visual Features and Map—0
Accelerate Learning of Deep Hashing With Gradient Attention—0
Exploring the landscape of large language models: Foundations, techniques, and challenges—0
ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data—0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs—0
Clustering is Efficient for Approximate Maximum Inner Product Search—0
ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling—0
Image Change Captioning by Learning From an Auxiliary Task—0
Image Classification and Retrieval from User-Supplied Tags—0
Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition—0
Image Classification by Feature Dimension Reduction and Graph based Ranking—0
Instruct-Imagen: Image Generation with Multi-modal Instruction—0
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation—0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking—0
Clustering Billions of Reads for DNA Data Storage—0
Image-Mediated Learning for Zero-Shot Cross-Lingual Document Retrieval—0
Image Parsing with a Wide Range of Classes and Scene-Level Context—0
Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering—0
Show:102550
← PrevPage 251 of 572Next →
All datasetsQuora Question PairsHotpotQANatural QuestionsOK-VQAInfoSeekMVKPolyvorePubMedQAPubMedQA corpus with metadataToolLensคลิปไวรัล!! ไอซ์ ปรีชญา ลืมปิดไลฟ์สดตอนอาบน้ำ ถูกแชร์กระหึ่มเน็ต

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