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 3251–3275 of 14297 papers

TitleStatusHype
Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question AnsweringCode0
Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link PredictionCode0
Thesis: Document Summarization with applications to Keyword extraction and Image Retrieval—0
Question-Based Retrieval using Atomic Units for Enterprise RAG—0
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph AugmentationCode1
Data Augmentation for Text-based Person Retrieval Using Large Language Models—0
Token-wise Influential Training Data Retrieval for Large Language ModelsCode1
KG-RAG: Bridging the Gap Between Knowledge and Creativity—0
On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions—0
Register assisted aggregation for Visual Place Recognition—0
Sociotechnical Implications of Generative Artificial Intelligence for Information Access—0
DocReLM: Mastering Document Retrieval with Language Model—0
EnterpriseEM: Fine-tuned Embeddings for Enterprise Semantic Search—0
Mitigating Interpretation Bias in Rock Records with Large Language Models: Insights from Paleoenvironmental Analysis—0
From Generalist to Specialist: Improving Large Language Models for Medical Physics Using ARCoT—0
Stable Phase Retrieval with Mirror Descent—0
INDUS: Effective and Efficient Language Models for Scientific Applications—0
Neural Optimization with Adaptive Heuristics for Intelligent Marketing System—0
A Hybrid Framework with Large Language Models for Rare Disease Phenotyping—0
PIR: Remote Sensing Image-Text Retrieval with Prior Instruction Representation LearningCode1
FFF: Fixing Flawed Foundations in contrastive pre-training results in very strong Vision-Language models—0
Revisiting Deep Audio-Text Retrieval Through the Lens of TransportationCode1
A Tale of Two Languages: Large-Vocabulary Continuous Sign Language Recognition from Spoken Language Supervision—0
FinTextQA: A Dataset for Long-form Financial Question Answering—0
UniRAG: Universal Retrieval Augmentation for Large Vision Language ModelsCode1
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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