closed-loop dynamics 1knowledge saturation 1large language models 1reinforcement learning 1stability analysis 1structural intervention 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Closed-Loop Knowledge Dynamics: An Operational Framework for Saturation and Escape
Xuening Wu, Shan Yu, Shenqin Yin
The paper proposes a framework for understanding why feedback loops in AI systems like large language models and reinforcement learning eventually stop improving, and how external…
cs.AI2026
BayesEvolve: Explicit Belief States for Autonomous Scientific Discovery
Xuening Wu, Shan Yu, Qianya Xu +1
Autonomous scientific discovery systems increasingly use large language models (LLMs) to propose new hypotheses, but many such systems condition primarily on experimental memory: a…