2 citations · 3 across the 3 of their papers we have counts for
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.AI2024★ 2 cited
LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts
Yijia Xiao, Edward Sun, Tianyu Liu +1
We propose LogicVista, an evaluation benchmark that assesses the integrated logical reasoning capabilities of multimodal large language models (MLLMs) in Visual contexts. Recent ad…
cs.LG2023★ 1 cited
Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading
Vikram Duvvur, Aashay Mehta, Edward Sun +3
The use of machine learning in algorithmic trading systems is increasingly common. In a typical set-up, supervised learning is used to predict the future prices of assets, and thos…