Author

X. Zhang

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#artificial intelligence Preprint Sep 2026

Clarify the User or Verify the World? Uncertainty Routing for Proactive Agents

This work proposes PROUR, a proactive uncertainty routing framework that decomposes action uncertainty into disagreement across plausible user-goal interpretations, which signals user-side ambiguity, and the entropy remaining within each interpretation, which signals missing world-side evidence.

Zhao-Feng Li, X. Zhang, Xiao Xiao et al. · 0 citations

#artificial intelligence Jun 2026

Self-Evolving World Models for LLM Agent Planning

Extensive experiments show that WorldEvolver achieves the highest prediction accuracy across three backbones and leads other world model baselines on downstream agent success rate, demonstrating that test-time memory revision enhances both predictive fidelity and planning performance.

Xuan Zhang, Wen-Xuan Zhang, See-Kiong Ng et al. · arXiv.org · 3 citations