Zhaohui Wang

2 papers indexed

arxivcs.LGcs.AI2026-07-18

Learning from World Feedback: Why Model Uncertainty Fails as a Risk Signal in Model-Based RL

The RLxF programme argues that learning signals should come from world feedback rather than from internal model proxies. We instantiate this position in safe model-based control and distil it into three concrete design principles. Empirically, across four world-model architecture…

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arxivcs.LGcs.AIstat.ML2026-06-27

Uncertainty-Aware Sequential Decision Rules for Event-Triggered LLM Invocation in Streaming Systems

Zhaohui Wang

Streaming inference pipelines increasingly pair lightweight fast models with Large Language Models (LLMs) that provide rich semantic understanding at substantial cost. The central question of when to invoke the LLM has received limited formal treatment. We cast this as a risk-bas…

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