Author

Shuaishuai Gong

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#artificial intelligence Preprint Oct 2026

EvoQuantLab: Training-Free Dual-Loop Evolution for Auditable Quantitative Research

Automated alpha factor discovery is critical for modern quantitative research. While large language models (LLMs) have increasingly been integrated into quantitative workflows, existing agent-based approaches remain highly susceptible to severe backtest overfitting. To address this challenge, we propose EvoQuantLab, a...

Hao-Lin Yang, Zhi-Qiang Qian, Chu-Tian Chen et al. · 0 citations

Preprint Aug 2026

SkillProx: Self-Evolving Agent Skills via Proximal Textual Gradient Descent

SkillProx is introduced, a proximal-gradient-inspired forward--backward framework that couples closed-loop diagnostic evolution with utility-aware proximal refinement and demonstrates the complementary effects of closed-loop diagnosis and proximal refinement.

Mingxuan Zheng, Yu-Jin Zhou, Chuxue Cao et al. · 2 citations