LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Abstract: In the emergent and evolving landscape of artificial intelligence, decision support systems have a vital role in the choice-making functions, right from the health sector to finance. Whereas ...

Overview AI and big data posted the sharpest jump on WEF's 2025 skills ranking, up 17 percentage points in two years, while ...

Aether AI, founded by UCSD professor Biwei Huang, closed a $20 million seed round on June 18, 2026 to build causal world models that understand cause-and-effect relationships rather than statistical ...

Causal analysis is used to answer what-if questions. Unlike forecasting, which answers the question of what will happen next if everyone keeps behaving as they have in the past, causal inference ...

Abstract: Computational experiments method is an essential tool for analyzing, designing, managing, and integrating complex systems. However, a significant challenge arises in constructing agents with ...

We have implemented three falsification algorithms, which can be used complementarily: Hierarchical Graphical Independence Constraint (HGIC) Test: This test jointly assesses whether unconfoundedness ...