SOTAVerified

Descriptive

Papers

Showing 10511075 of 1477 papers

TitleStatusHype
LLM and Infrastructure as a Code use case0
LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma0
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification0
Log-Normal Matrix Completion for Large Scale Link Prediction0
Longitudinal Impact of Tobacco Use and Social Determinants on Respiratory Health Disparities Among Louisiana Medicaid Enrollees0
Long-term Visual Localization using Semantically Segmented Images0
Looking to Relations for Future Trajectory Forecast0
Lost in Time: Temporal Analytics for Long-Term Video Surveillance0
LRG at TREC 2020: Document Ranking with XLNet-Based Models0
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics and 3D CNNs0
Machine Learning Approach and Extreme Value Theory to Correlated Stochastic Time Series with Application to Tree Ring Data0
Machine Learning Models of Universal Grammar Parameter Dependencies0
Machine learning predicts early onset of fever from continuous physiological data of critically ill patients0
Machine Learning with Guarantees using Descriptive Complexity and SMT Solvers0
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning0
MangngalApp -- An integrated package of technology for COVID-19 response and rural development: Acceptability and usability using TAM0
Mapping Husserlian phenomenology onto active inference0
MAQA: A Quantum Framework for Supervised Learning0
Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale0
MASSTAR: A Multi-Modal and Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion0
Matching of Descriptive Labels to Glossary Descriptions0
MATE: Meet At The Embedding -- Connecting Images with Long Texts0
Mathematical Structure of Syntactic Merge0
Mathematics at the eve of a historic transition in biology0
Mayer-homology learning prediction of protein-ligand binding affinities0
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