3 papers
q-fin.CP2026
Shapley in Context: Explaining Financial Language with Domain Expertise
Dangxing Chen, Pengzhan Guo
In recent years, large language models have achieved remarkable success and have seen growing adoption in financial applications. At the same time, explainability remains critical…
q-fin.CP2025
Explaining Risks: Axiomatic Risk Attributions for Financial Models
Dangxing Chen
In recent years, machine learning models have achieved great success at the expense of highly complex black-box structures. By using axiomatic attribution methods, we can fairly al…
econ.GN2024
FinML-Chain: A Blockchain-Integrated Dataset for Enhanced Financial Machine Learning
Jingfeng Chen, Wanlin Deng, Dangxing Chen +1
Machine learning is critical for innovation and efficiency in financial markets, offering predictive models and data-driven decision-making. However, challenges such as missing dat…