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 4476–4500 of 14297 papers

TitleStatusHype
Exploring the landscape of large language models: Foundations, techniques, and challenges—0
Exploring Transfer Learning and Domain Data Selection for the Biomedical Translation—0
Expressing Objects just like Words: Recurrent Visual Embedding for Image-Text Matching—0
Corpora for Cross-Language Information Retrieval in Six Less-Resourced Languages—0
A Medical Pre-Diagnosis System for Histopathological Image of Breast Cancer—0
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models—0
Attentive Deep Neural Networks for Legal Document Retrieval—0
Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models—0
AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification—0
CoRet: Improved Retriever for Code Editing—0
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation—0
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration—0
Coreference information guides human expectations during natural reading—0
A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine—0
Exploring the context of visual information seeking—0
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering—0
A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature—0
CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation—0
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models—0
CORD19STS: COVID-19 Semantic Textual Similarity Dataset—0
AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation—0
SolBench: A Dataset and Benchmark for Evaluating Functional Correctness in Solidity Code Completion and Repair—0
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation—0
AttentionMeSH: Simple, Effective and Interpretable Automatic MeSH Indexer—0
CoRAG: Collaborative Retrieval-Augmented Generation—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