Cover Image

Model Risk Management for Generative AI In Financial Institutions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhattacharyya, Anwesha, Yu, Ye, Yang, Hanyu, Singh, Rahul, Joshi, Tarun, Chen, Jie, Yalavarthy, Kiran
Format:	Preprint
Published:	2025
Subjects:	Risk Management Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Bayesian Modeling for Uncertainty Management in Financial Risk Forecasting and Compliance
by: Mamun, Sharif Al, et al.
Published: (2025)

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

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

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

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

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

Lessons From Model Risk Management in Financial Institutions for Academic Research
by: Alaghmandan, Mahmood, et al.
Published: (2024)

Utilizing Effective Dynamic Graph Learning to Shield Financial Stability from Risk Propagation
by: Yu, Guanyuan, et al.
Published: (2025)

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

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

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

Forecasting Probability Distributions of Financial Returns with Deep Neural Networks
by: Michańków, Jakub
Published: (2025)

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

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

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
by: Karimova, Nigar
Published: (2024)

Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning
by: Wang, Daixin, et al.
Published: (2024)

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

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

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

Machine Learning Based Stress Testing Framework for Indian Financial Market Portfolios
by: G, Vidya Sagar, et al.
Published: (2025)

Machine Learning based Enterprise Financial Audit Framework and High Risk Identification
by: Yuan, Tingyu, et al.
Published: (2025)

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

Generative Adversarial Regression (GAR): Learning Conditional Risk Scenarios
by: Asadi, Saeed, et al.
Published: (2026)

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

A Personal data Value at Risk Approach
by: Enriquez, Luis
Published: (2024)

Multimodal Generative Models for Bankruptcy Prediction Using Textual Data
by: Mancisidor, Rogelio A., et al.
Published: (2022)

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
by: Golec, Muhammed, et al.
Published: (2025)

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

RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data
by: Cao, Yupeng, et al.
Published: (2024)

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

Generative Learning of Heterogeneous Tail Dependence
by: Sun, Xiangqian, et al.
Published: (2020)

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

Robust Yield Curve Estimation for Mortgage Bonds Using Neural Networks
by: Molavipour, Sina, et al.
Published: (2025)

Risk Aware Benchmarking of Large Language Models
by: Nitsure, Apoorva, et al.
Published: (2023)

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

Conditional Risk Minimization with Side Information: A Tractable, Universal Optimal Transport Framework
by: Xie, Xinqiao, et al.
Published: (2025)

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

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