3 papers
q-fin.TR2025
Trading-R1: Financial Trading with LLM Reasoning via Reinforcement Learning
Yijia Xiao, Edward Sun, Tong Chen +3
Developing professional, structured reasoning on par with human financial analysts and traders remains a central challenge in AI for finance, where markets demand interpretability…
cs.AI2025
Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning
Yinggan Xu, Hana Kimlee, Yijia Xiao +1
Large Language Models (LLMs) are playing an increasingly important role in physics research by assisting with symbolic manipulation, numerical computation, and scientific reasoning…
q-fin.TR2024
TradingAgents: Multi-Agents LLM Financial Trading Framework
Yijia Xiao, Edward Sun, Di Luo +1
Significant progress has been made in automated problem-solving using societies of agents powered by large language models (LLMs). In finance, efforts have largely focused on singl…