Imagen de Portada

A Large Language Model for Corporate Credit Scoring

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Majumdar, Chitro, Scandizzo, Sergio, Mahanta, Ratanlal, Mandal, Avradip, Bhattacharjee, Swarnendu
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

Reinforcement Learning in Credit Scoring and Underwriting
por: Kiatsupaibul, Seksan, et al.
Publicado: (2022)

Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models
por: Kozodoi, Nikita, et al.
Publicado: (2024)

Linear Discriminant Analysis in Credit Scoring: A Transparent Hybrid Model Approach
por: Reza, Md Shihab, et al.
Publicado: (2024)

Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models
por: Feng, Duanyu, et al.
Publicado: (2023)

Enhanced Credit Score Prediction Using Ensemble Deep Learning Model
por: Xing, Qianwen, et al.
Publicado: (2024)

From Ethical Declarations to Provable Independence: An Ontology-Driven Optimal-Transport Framework for Certifiably Fair AI Systems
por: Bhattacharya, Sukriti, et al.
Publicado: (2025)

Convergence Results for Approximation with independent Variables
por: Delbaen, Freddy, et al.
Publicado: (2024)

Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
por: Chen, Wen-Tse, et al.
Publicado: (2026)

Structural Gender Bias in Credit Scoring: Proxy Leakage
por: SD, Navya, et al.
Publicado: (2026)

Hamiltonian Neural Networks for Robust Out-of-Time Credit Scoring
por: Marín, Javier
Publicado: (2024)

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

A Distributionally Robust Optimisation Approach to Fair Credit Scoring
por: Casas, Pablo, et al.
Publicado: (2024)

Best Practices for Responsible Machine Learning in Credit Scoring
por: Valdrighi, Giovani, et al.
Publicado: (2024)

Credit Scores: Performance and Equity
por: Albanesi, Stefania, et al.
Publicado: (2024)

Thinking Forward and Backward: Effective Backward Planning with Large Language Models
por: Ren, Allen Z., et al.
Publicado: (2024)

IQNN-CS: Interpretable Quantum Neural Network for Credit Scoring
por: Khan, Abdul Samad, et al.
Publicado: (2025)

Measuring the Driving Forces of Predictive Performance: Application to Credit Scoring
por: Sullivan, Hué, et al.
Publicado: (2022)

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

Balancing Performance and Reject Inclusion: A Novel Confident Inlier Extrapolation Framework for Credit Scoring
por: Ribeiro, Athyrson Machado, et al.
Publicado: (2025)

Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment
por: Nagpal, Kartik, et al.
Publicado: (2025)

A Multimodal Approach to SME Credit Scoring Integrating Transaction and Ownership Networks
por: Zandi, Sahab, et al.
Publicado: (2025)

Score Broadcast and Decorrelation: A General Framework for Broadcast-Based Credit Assignment
por: Uzun, Mustafa, et al.
Publicado: (2026)

CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
por: Shi, Yumeng, et al.
Publicado: (2025)

An Experimental Study on Fairness-aware Machine Learning for Credit Scoring Problems
por: Thu, Huyen Giang Thi, et al.
Publicado: (2024)

HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents
por: Peng, Jiangweizhi, et al.
Publicado: (2026)

Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
por: John, Shivogo
Publicado: (2025)

Distillation of Large Language Models via Concrete Score Matching
por: Kim, Yeongmin, et al.
Publicado: (2025)

Investigating Automatic Scoring and Feedback using Large Language Models
por: Katuka, Gloria Ashiya, et al.
Publicado: (2024)

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

Exploring the Utilities of the Rationales from Large Language Models to Enhance Automated Essay Scoring
por: Jiao, Hong, et al.
Publicado: (2025)

Adversarial Text Purification: A Large Language Model Approach for Defense
por: Moraffah, Raha, et al.
Publicado: (2024)

Comparison of Scoring Rationales Between Large Language Models and Human Raters
por: Hua, Haowei, et al.
Publicado: (2025)

CHAI for LLMs: Improving Code-Mixed Translation in Large Language Models through Reinforcement Learning with AI Feedback
por: Zhang, Wenbo, et al.
Publicado: (2024)

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

Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning
por: Bhambri, Siddhant, et al.
Publicado: (2024)

Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
por: Nirmal, Ayushi, et al.
Publicado: (2024)

Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models
por: Guo, Yiran, et al.
Publicado: (2025)

Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning
por: Mancilla, Javier, et al.
Publicado: (2024)