Buchumschlag

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Golec, Muhammed, AlabdulJalil, Maha
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Risk Management Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Enhancing ML Models Interpretability for Credit Scoring
von: Schwartz, Sagi, et al.
Veröffentlicht: (2025)

KACDP: A Highly Interpretable Credit Default Prediction Model
von: Liu, Kun, et al.
Veröffentlicht: (2024)

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance
von: Zhang, Qingkai, et al.
Veröffentlicht: (2025)

FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling
von: Amed, Sultan, et al.
Veröffentlicht: (2026)

Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?
von: Geng, Wenxi, et al.
Veröffentlicht: (2026)

The Fairness of Credit Scoring Models
von: Hurlin, Christophe, et al.
Veröffentlicht: (2022)

Machine and Deep Learning for Credit Scoring: A compliant approach
von: Rida, Abdollah
Veröffentlicht: (2024)

Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization
von: Ying, Cecilia, et al.
Veröffentlicht: (2024)

Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
von: Liu, Bingyao, et al.
Veröffentlicht: (2024)

Application of AI in Credit Risk Scoring for Small Business Loans: A case study on how AI-based random forest model improves a Delphi model outcome in the case of Azerbaijani SMEs
von: Karimova, Nigar
Veröffentlicht: (2024)

Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism
von: Chagahi, Mehdi Hosseini, et al.
Veröffentlicht: (2024)

A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios
von: Kündig, Pascal, et al.
Veröffentlicht: (2024)

Research on Credit Risk Early Warning Model of Commercial Banks Based on Neural Network Algorithm
von: Cheng, Yu, et al.
Veröffentlicht: (2024)

Calibrated Credit Intelligence: Shift-Robust and Fair Risk Scoring with Bayesian Uncertainty and Gradient Boosting
von: Nayak, Srikumar
Veröffentlicht: (2026)

A Personal data Value at Risk Approach
von: Enriquez, Luis
Veröffentlicht: (2024)

Entity-Specific Cyber Risk Assessment using InsurTech Empowered Risk Factors
von: Guo, Jiayi, et al.
Veröffentlicht: (2025)

Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks
von: Zhao, Yu, et al.
Veröffentlicht: (2022)

Explainable Risk Classification in Financial Reports
von: Tan, Xue Wen, et al.
Veröffentlicht: (2024)

Adaptive Window Selection for Financial Risk Forecasting
von: Li, Yinhuan, et al.
Veröffentlicht: (2026)

Model Risk Management for Generative AI In Financial Institutions
von: Bhattacharyya, Anwesha, et al.
Veröffentlicht: (2025)

Generative AI Enhanced Financial Risk Management Information Retrieval
von: Haeri, Amin, et al.
Veröffentlicht: (2025)

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach
von: Tan, Xue Wen, et al.
Veröffentlicht: (2025)

Implementation of an Asymmetric Adjusted Activation Function for Class Imbalance Credit Scoring
von: Li, Xia, et al.
Veröffentlicht: (2025)

Robust Bayesian Dynamic Programming for On-policy Risk-sensitive Reinforcement Learning
von: Han, Shanyu, et al.
Veröffentlicht: (2025)

Risk Management with Feature-Enriched Generative Adversarial Networks (FE-GAN)
von: Chen, Ling
Veröffentlicht: (2024)

A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective
von: Du, Huaming, et al.
Veröffentlicht: (2022)

Evaluating Credit VIX (CDS IV) Prediction Methods with Incremental Batch Learning
von: Taylor, Robert
Veröffentlicht: (2024)

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications
von: Wang, Yuhan, et al.
Veröffentlicht: (2024)

Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models
von: Sun, Wenying, et al.
Veröffentlicht: (2024)

Design and Optimization of Big Data and Machine Learning-Based Risk Monitoring System in Financial Markets
von: Wang, Liyang, et al.
Veröffentlicht: (2024)

Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring
von: Li, Xia, et al.
Veröffentlicht: (2025)

Loss-based Bayesian Sequential Prediction of Value at Risk with a Long-Memory and Non-linear Realized Volatility Model
von: Peiris, Rangika, et al.
Veröffentlicht: (2024)

Research and Design of a Financial Intelligent Risk Control Platform Based on Big Data Analysis and Deep Machine Learning
von: Bi, Shuochen, et al.
Veröffentlicht: (2024)

Explainable Automated Machine Learning for Credit Decisions: Enhancing Human Artificial Intelligence Collaboration in Financial Engineering
von: Schmitt, Marc
Veröffentlicht: (2024)

Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending
von: Sanz-Guerrero, Mario, et al.
Veröffentlicht: (2024)

SHAP Stability in Credit Risk Management: A Case Study in Credit Card Default Model
von: Lin, Luyun, et al.
Veröffentlicht: (2025)

On-Chain Credit Risk Score in Decentralized Finance
von: Ghosh, Rik, et al.
Veröffentlicht: (2024)

Transformer-based CoVaR: Systemic Risk in Textual Information
von: Chen, Junyu, et al.
Veröffentlicht: (2026)

Interpretable Systematic Risk around the Clock
von: He, Songrun
Veröffentlicht: (2026)

Fairness-Aware Insurance Pricing: A Multi-Objective Optimization Approach
von: Boonen, Tim J., et al.
Veröffentlicht: (2025)