Author

Qingzhuo Wang

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#artificial intelligence Preprint Sep 2026

AlphaDiverse: Post-Training Local Quantitative Research Agents for Diverse Exploration in Alpha Factor Mining

Large language model (LLM)-based multi-agent systems can automate alpha factor mining, but their reliance on external APIs limits control over cost, availability, and confidentiality. Long research loops also tend to revisit a few successful economic mechanisms that lead to research path collapse. To address these limi...

Qing-Zhuo Wang, Zi-Kun Wei, Zhi-Hua Wei et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions

Interactions are introduced as a fine-grained tool to analyze prompt sensitivity of LLMs and it is discovered that subtle changes to prompts can trigger severe instability in interactions, even when the outputs of the LLM remain the same.

Ruiyang Qin, Qingzhuo Wang, Tian Wang et al. · 2 citations · ⚡1