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 4451–4500 of 14297 papers

TitleStatusHype
A Method of Passage-Based Document Retrieval in Question Answering System—0
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems—0
Exposing Query Identification for Search Transparency—0
Attribute-Guided Network for Cross-Modal Zero-Shot Hashing—0
Correlations strike back (again): the case of associative memory retrieval—0
Correlation Hashing Network for Efficient Cross-Modal Retrieval—0
A Method for Multi-Hop Question Answering on Persian Knowledge Graph—0
Exploring the Value of Multi-View Learning for Session-Aware Query Representation—0
Correlation between Similarity Measures for Inter-Language Linked Wikipedia Articles—0
Correlating and Cross-linking Knowledge Threads in Informledge System for Creating New Knowledge—0
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering—0
Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection—0
Exploring the Nexus Between Retrievability and Query Generation Strategies—0
Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey—0
Exploring the Value of Multi-View Learning for Session-Aware Query Representation—0
Corpus Wide Argument Mining -- a Working Solution—0
Attonsecond Streaking Phase Retrieval Via Deep Learning Methods—0
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network—0
A Meta-embedding-based Ensemble Approach for ICD Coding Prediction—0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs—0
Attentive Representation Learning with Adversarial Training for Short Text Clustering—0
Corpus-informed Retrieval Augmented Generation of Clarifying Questions—0
A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models—0
Corpus COFLA: A research corpus for the Computational study of Flamenco Music—0
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval—0
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