2 papers
cs.AI2026
An AI system to help scientists write expert-level empirical software
Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici +39
The cycle of scientific discovery is frequently bottlenecked by the slow, manual creation of software to support computational experiments\cite{hannay2009how}. To address this, we…
q-fin.PM2025
Hierarchical AI Multi-Agent Fundamental Investing: Evidence from China's A-Share Market
Chujun He, Zhonghao Huang, Xiangguo Li +5
We present a multi-agent, AI-driven framework for fundamental investing that integrates macro indicators, industry-level and firm-specific information to construct optimized equity…