Optimize Prompts for Accurate Large Language Model Evaluation
Discover why prompt optimization is essential for accurate evaluation of large language models and how it impacts model ranking and selection.
Generative Structure Search for Efficient Molecular Discovery
Discover diverse molecular and crystal structures efficiently with Generative Structure Search, combining deep learning and energy-guided exploration.
How Political Bias in LLMs Shifts with User Identity
Study reveals LLMs adapt political bias based on user identity, challenging fixed audits and highlighting sycophantic response patterns.
Ensuring Autonomous Systems Safety and Reliability in AI Era
Explore challenges and solutions for safety, security, reliability, and certification in autonomous AI-driven systems and embedded platforms.
Post-Optimization Adaptive Rank Allocation for Efficient LoRA
Discover PARA, a post-optimization method that reduces LoRA parameters by up to 90% while preserving model performance in AI fine-tuning.