Teacher-Aware Evolution for Optimized Heuristic Programs
Discover how teacher-aware evolution enhances heuristic programs using learned optimization policies for better AI-driven combinatorial problem solving.
Hierarchical Causal Abduction for Explainable MPC Systems
Discover Hierarchical Causal Abduction, a framework enhancing explainability and trust in Model Predictive Control for safety-critical AI applications.
PRISM: Real-Time Secret Leakage Detection in Multi-Agent LLMs
Discover PRISM, a real-time system that detects and mitigates secret leakage in multi-agent LLM pipelines, ensuring secure AI interactions.
Why AI Deployment Needs Calibrated Verification Now
Explore why AI deployment requires calibrated verification, independent oversight, and continuous monitoring for safety and accountability.
Budget-Efficient Automatic Algorithm Design Using Code Graph
Discover a budget-efficient framework for automatic algorithm design using code graphs, optimizing performance and reducing computational costs.