Author

Jiang Guo

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#artificial intelligence Preprint Oct 2026

EvoBelief: Falsifiable World Models for Self-Improving LLM Agents

Self-evolving LLM agents typically improve how they act through accumulated experience, reflection, or skills. Yet even procedurally capable agents can fail when their beliefs about environment dynamics are incomplete, incorrect, or outdated. We study a complementary axis of self-evolution: evolving those beliefs durin...

Janet Wang, Jiang Guo, Yi Xiang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Plan-and-Patch: Diffusion Language Models for Agentic Planning

Planning is increasingly important for long-horizon agents, where successful execution requires coordinating subgoals, tool use, and intermediate outcomes over many steps. Yet assumptions made during planning may be invalidated by the environment, tools may return unexpected results, or actions may fail. Effective agen...

Syamantak Kumar, Jiang Guo, Hassan Hamad et al. · 0 citations