Latent State Design in World Models with Sufficiency Constraints
Explore latent state design in AI world models, balancing info retention and sufficiency for prediction, control, and planning in intelligent agents.
CP-SynC: Multi-Agent Zero-Shot Constraint Modeling in MiniZinc
Discover CP-SynC, a multi-agent system enhancing zero-shot constraint modeling in MiniZinc for accurate, automated combinatorial problem-solving.
Evaluating Agentic AI: Failure Modes & Production Framework
Discover key failure modes, drift patterns, and the PAEF framework for continuous evaluation of agentic AI in real-world production environments.
Multi-Agent Reasoning Boosts AI Efficiency with Pareto Scaling
Discover how multi-agent reasoning enhances AI compute efficiency using Pareto-optimal test-time scaling for better performance and lower costs.
MILD System: Enhancing Human-Vehicle Collaboration Safety
Discover how the MILD system improves human-vehicle collaboration with bidirectional perception and multi-layered alignment for safer partial driving autom...