6 papers
Comparative Analysis of Large Language Models in Healthcare
Subin Santhosh, Farwa Abbas, Hussain Ahmad +1
Background: Large Language Models (LLMs) are transforming artificial intelligence applications in healthcare due to their ability to understand, generate, and summarize complex med…
3S-Trader: A Multi-LLM Framework for Adaptive Stock Scoring, Strategy, and Selection in Portfolio Optimization
Kefan Chen, Hussain Ahmad, Diksha Goel +1
Large Language Models (LLMs) have recently gained popularity in stock trading for their ability to process multimodal financial data. However, most existing methods focus on single…
SCALAR: Self-Calibrating Adaptive Latent Attention Representation Learning
Farwa Abbas, Hussain Ahmad, Claudia Szabo
High-dimensional, heterogeneous data with complex feature interactions pose significant challenges for traditional predictive modeling approaches. While Projection to Latent Struct…
RegimeFolio: A Regime Aware ML System for Sectoral Portfolio Optimization in Dynamic Markets
Yiyao Zhang, Diksha Goel, Hussain Ahmad +1
Financial markets are inherently non-stationary, with shifting volatility regimes that alter asset co-movements and return distributions. Standard portfolio optimization methods, t…
Resilient Auto-Scaling of Microservice Architectures with Efficient Resource Management
Hussain Ahmad, Christoph Treude, Markus Wagner +1
Horizontal Pod Auto-scalers (HPAs) are crucial for managing resource allocation in microservice architectures to handle fluctuating workloads. However, traditional HPAs fail to add…
ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models
Shivansh Chopra, Hussain Ahmad, Diksha Goel +1
The increasing frequency and sophistication of cybersecurity vulnerabilities in software systems underscores the need for more robust and effective vulnerability assessment methods…