DBGL: Advanced Graph Learning for Irregular Medical Time Series
Discover DBGL, a decay-aware bipartite graph learning model improving classification of irregular medical time series for better patient data analysis.
Polynomial Expansion Rank Adaptation for Efficient Fine-Tuning
Discover Polynomial Expansion Rank Adaptation (PERA) to enhance low-rank fine-tuning with high-order interactions for better large language model performan...
Top Internal Communication Tools for 2026: Expert Reviews
Discover the best internal communication tools of 2026 tested by experts to boost remote team collaboration, productivity, and engagement.
Learned Capability Governance for Secure Autonomous AI
Discover Aethelgard, a novel framework that reduces capability overprovisioning and enhances security for autonomous AI agents using adaptive governance.
Layer-wise Insights for Efficient Supervised Fine-Tuning
Discover how selective layer tuning improves supervised fine-tuning, reducing forgetting and boosting model performance by 10%+ on GSM8K.