Amharic Deep Learning Chatbot for University FAQs
Explore our Amharic deep learning chatbot designed to answer university FAQs efficiently with 91.55% accuracy using AI and NLP technologies.
Auto-FP: Automated Feature Preprocessing for Tabular Data
Explore Auto-FP, an automated feature preprocessing method for tabular data that enhances machine learning model performance via HPO and NAS techniques.
ImplicitMemBench: Testing Unconscious Adaptation in LLMs
Discover how ImplicitMemBench evaluates unconscious behavioral adaptation in large language models, revealing key limitations and future AI needs.
IatroBench: Evidence of AI Safety Risks in Medical Advice
IatroBench reveals AI safety measures causing harm by withholding critical medical info, highlighting risks in AI-generated healthcare guidance.
Animating Petascale Time-Varying Data on Commodity PCs
Create 3D animations of petascale time-varying data on standard hardware using LLM-assisted scripting for fast, efficient scientific visualization.