Author

Jiang-Yuan Hong

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Preprint Sep 2026

Are LLMs Good Financial User Simulators? Multi-view Investor Logic Alignment (MILA)

Controlled evidence ablations show that recent trading history strongly governs activity prediction, whereas asset selection is substantially more sensitive to the available evidence.

Jia-Jie He, Jiang-Yuan Hong, Xin-Tong Chen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Are LLMs Good Financial User Simulators? A Preliminary Study

Large language models (LLMs) are increasingly used as user simulators, but their ability to reproduce evolving individual financial decisions remains unclear. We present a preliminary study in a controlled paper-trading environment with 120 volunteers. Participants used non-redeemable virtual funds under real-time mark...

Jia-Jie He, Jiang-Yuan Hong, Dong-Ling Ni et al. · 0 citations