2 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
Communicating Credit Risk with Large Language Models: Evaluation of Explanations from Standard and Alternative Data-Based Models
Sahab Zandi, Noah Kostesku, Christophe Mues +2
Credit decisioning is a high-stakes task in which model outputs must be accurate and explainable to support compliant decisions. Although modern credit risk models such as eXtreme…
LLM-based Models for Detecting Emerging Topics in Service Feedback
Mahsa Tavakoli, Ruth Bankey, Cristián Bravo
Enhancing the analysis of service feedback is essential for public sector organizations, particularly tax administrations, where trust and compliance depend on fair and effective s…
Tabular Foundation Models for Credit Risk Prediction: A Dedicated Review and Empirical Comparison
Bart Baesens, Andreas Goethals, Stefan Lessmann +10
Predictive models are central to credit risk management, where the accuracy of default-probability and loss estimates affects the profitability of lending and the stability of the…
Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors
Sherly Alfonso-Sánchez, Cristián Bravo, Kristina G. Stankova
Geographic context is often consider relevant to motor insurance risk, yet public actuarial datasets provide limited location identifiers, constraining how this information can be…