Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy | Paper Citation Record

Observation 3dfeca81-06d0-4fad-a364-b3318023ad89 · outbound

This paper cites Game theory analysis on credit risk assessment in e-commerce.Information Processing & Management, 59(1):102763, 2022.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Game theory analysis on credit risk assessment in e-commerce.Information Processing & Management, 59(1):102763, 2022

Reference 1

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Observation c8b7fe05-b150-4c0e-90cc-7bacc41369b9 · outbound

This paper cites Data-driven decision-making in credit risk management: The information value of analyst reports.Decision Support Systems, 158:113770, 2022.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Data-driven decision-making in credit risk management: The information value of analyst reports.Decision Support Systems, 158:113770, 2022

Reference 2

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Observation 21fda5c2-8940-4e78-bd91-d2baf94d2871 · outbound

This paper cites Comparative investigation of gpt and finbert’s sentiment analysis performance in news across different sectors.Electronics, 14(6):1090, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Comparative investigation of gpt and finbert’s sentiment analysis performance in news across different sectors.Electronics, 14(6):1090, 2025

Reference 3

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This paper cites Llm-driven apt detection for 6g wireless networks: A systematic review and taxonomy.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Llm-driven apt detection for 6g wireless networks: A systematic review and taxonomy

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This paper cites Innovative sentiment analysis and prediction of stock price using finbert, gpt-4 and logistic regression: A data-driven approach.Big Data and Cognitive Computing, 8(11):143, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Innovative sentiment analysis and prediction of stock price using finbert, gpt-4 and logistic regression: A data-driven approach.Big Data and Cognitive Computing, 8(11):143, 2024

Reference 5

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Observation 51f27347-b923-46bc-bcfd-2f8ea86fb68c · outbound

This paper cites A review on large language models and generative ai in banking.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A review on large language models and generative ai in banking

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This paper cites Enhancing Financial Inclusion and Regulatory Challenges: A Critical Analysis of Digital Banks and Alternative Lenders Through Digital Platforms, Machine Learning, and Large Language Models Integration.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Enhancing Financial Inclusion and Regulatory Challenges: A Critical Analysis of Digital Banks and Alternative Lenders Through Digital Platforms, Machine Learning, and Large Language Models Integration

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Resolution: verified exact; local_arxiv, observed 2026-08-07T10:58:10.023497Z

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Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Unresolved cited work

Reference 8

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Observation 4b281b2c-fdb7-47e2-879b-ecffd32c18cc · outbound

This paper cites A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law

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Observation e196d10b-6057-4501-b519-0c67a8175048 · outbound

This paper cites A systematic review of sentiment analytics in banking headlines.Decision Analytics Jour- nal, page 100584, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A systematic review of sentiment analytics in banking headlines.Decision Analytics Jour- nal, page 100584, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.498476Z

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Observation 6a64b0c1-ff13-4447-af30-9cc9c028ee32 · outbound

This paper cites A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

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This paper cites Machine learning for identifying risk in financial statements: A survey.ACM Computing Surveys, 57(9):1–37, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Machine learning for identifying risk in financial statements: A survey.ACM Computing Surveys, 57(9):1–37, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.491131Z

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Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Unresolved cited work

Reference 13

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This paper cites A comprehensive review of gen ai agents: Applications and frameworks in finance, investments and risk domains.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A comprehensive review of gen ai agents: Applications and frameworks in finance, investments and risk domains

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Observation a87fbd34-8408-45c6-90b8-bd394530ef9e · outbound

This paper cites Large language models for financial and investment management: Applications and benchmarks.Journal of Portfolio Management, 51(2), 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models for financial and investment management: Applications and benchmarks.Journal of Portfolio Management, 51(2), 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.470699Z

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Observation e11d9858-541e-4e83-9a33-f1f993874cac · outbound

This paper cites Review of gen ai models for financial risk management: Architectural frameworks and implementation strategies.Available at SSRN 5239190, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Review of gen ai models for financial risk management: Architectural frameworks and implementation strategies.Available at SSRN 5239190, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.463668Z

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Observation 127f93e2-93f5-4826-b52e-611867cea12e · outbound

This paper cites Large language models in finance (finllms).Neural Computing and Applications, pages 1–15, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models in finance (finllms).Neural Computing and Applications, pages 1–15, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.456756Z

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Observation 3215d02e-1531-4a8e-a833-534db58a5d24 · outbound

This paper cites AlSaleh, and Amir Mazhar.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy AlSaleh, and Amir Mazhar

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Observation d19eaf89-8acb-4b2f-8678-8a270d8c357a · outbound

This paper cites The impact of big data characteristics on credit risk assessment.International Journal of Data Science and Analytics, pages 1–21, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy The impact of big data characteristics on credit risk assessment.International Journal of Data Science and Analytics, pages 1–21, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.442920Z

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Observation 41bae6ad-10b2-4eaf-982a-c9a9abfd937f · outbound

This paper cites Large language models in finance: Reasoning.Large Language Models in Finance: Reasoning (December 08, 2024), 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models in finance: Reasoning.Large Language Models in Finance: Reasoning (December 08, 2024), 2024

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Observation 6828d729-e209-416f-bc03-61b6f9d3ec6e · outbound

This paper cites Large language models in finance: A survey.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models in finance: A survey

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This paper cites Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes

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Observation 261a91ea-6f12-46b5-ba33-671b28dbf2df · outbound

This paper cites Comparative analysis of large language models adapt- ability to detect sentiments in financial domain.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Comparative analysis of large language models adapt- ability to detect sentiments in financial domain

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Observation 9a979527-992d-4f62-91a1-d8d3cc164c9b · outbound

This paper cites Large language models (llms) for financial security.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models (llms) for financial security

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.415135Z

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Observation f5a86c7c-813e-41e9-93e5-1e96696c7de2 · outbound

This paper cites Assessing consistency and reproducibility in the outputs of large language models: Evidence across diverse finance and accounting tasks.arXiv e-prints, pages arXiv–2503, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Assessing consistency and reproducibility in the outputs of large language models: Evidence across diverse finance and accounting tasks.arXiv e-prints, pages arXiv–2503, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.408499Z

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Observation c5d63b44-eb6b-488f-aa38-2053ae4302b2 · outbound

This paper cites Large language models and generative ai in finance: an analysis of chatgpt, bard, and bing ai.Bard, and Bing AI (July 15, 2023), 2023.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models and generative ai in finance: an analysis of chatgpt, bard, and bing ai.Bard, and Bing AI (July 15, 2023), 2023

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This paper cites Genai and llm for financial institutions: A corporate strategic survey.Available at SSRN 4988118, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Genai and llm for financial institutions: A corporate strategic survey.Available at SSRN 4988118, 2024

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Observation 194fe830-a0e9-4827-9652-b3fe8f2a0b0d · outbound

This paper cites Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending

Reference 28

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This paper cites Nlp-based application for analyzing private and public banks stocks reaction to news events in the indian stock exchange.Systems, 10(6):233, 2022.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Nlp-based application for analyzing private and public banks stocks reaction to news events in the indian stock exchange.Systems, 10(6):233, 2022

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This paper cites Extracting Structured Insights from Financial News: An Augmented LLM Driven Approach.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Extracting Structured Insights from Financial News: An Augmented LLM Driven Approach

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This paper cites Overcoming data limitations in credit risk assessment with fingpt-generated synthetic data.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Overcoming data limitations in credit risk assessment with fingpt-generated synthetic data

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This paper cites Explainable transformers in financial forecasting.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Explainable transformers in financial forecasting

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This paper cites Making llms worth every penny: Resource-limited text classification in banking.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Making llms worth every penny: Resource-limited text classification in banking

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This paper cites Leveraging xai in prompt-based chatgpt for financial decision support.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Leveraging xai in prompt-based chatgpt for financial decision support

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This paper cites Hallucination detection: Robustly discerning reliable answers in large language models.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Hallucination detection: Robustly discerning reliable answers in large language models

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This paper cites Optimizing large language models for financial risk assessment in credit unions.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Optimizing large language models for financial risk assessment in credit unions

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This paper cites Large Language Model Adaptation for Financial Sentiment Analysis.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large Language Model Adaptation for Financial Sentiment Analysis

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This paper cites Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

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This paper cites Deep learning with llm: A new paradigm for financial market prediction and analysis.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Deep learning with llm: A new paradigm for financial market prediction and analysis

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This paper cites Design and implementation of an llm system to improve response time for smes technology credit evaluation.International journal of advanced smart convergence, 12(3):51–60, 2023.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Design and implementation of an llm system to improve response time for smes technology credit evaluation.International journal of advanced smart convergence, 12(3):51–60, 2023

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This paper cites Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models

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This paper cites Optimizing large language models for financial risk assessment in credit unions.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Optimizing large language models for financial risk assessment in credit unions

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.315904Z

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This paper cites Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation

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This paper cites Explainable Risk Classification in Financial Reports.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Explainable Risk Classification in Financial Reports

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This paper cites Investigating the beneficial impact of segmentation-based modelling for credit scoring.Decision Support Systems, 179:114170, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Investigating the beneficial impact of segmentation-based modelling for credit scoring.Decision Support Systems, 179:114170, 2024

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This paper cites Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

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This paper cites AraFinNLP 2024: The First Arabic Financial NLP Shared Task.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy AraFinNLP 2024: The First Arabic Financial NLP Shared Task

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Observation c4423ca0-1c6b-4b40-b21a-ca19bea33f63 · outbound

This paper cites Unleashing the power of text for credit default prediction: Comparing human-generated and ai-generated texts.SSRN Electronic Journal.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Unleashing the power of text for credit default prediction: Comparing human-generated and ai-generated texts.SSRN Electronic Journal

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This paper cites Bankruptcy prediction: Data augmentation, llms and the need for au- ditor’s opinion.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Bankruptcy prediction: Data augmentation, llms and the need for au- ditor’s opinion

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.301751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80649c5c-bc18-46b5-9dd4-e8dfc686e21d · outbound

This paper cites A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T10:58:09.658457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 050999d6-0063-42d2-8670-1918fdf384b7 · outbound

This paper cites Scalable fine-tunning strategies for llms in finance domain-specific ap- plication for credit union, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Scalable fine-tunning strategies for llms in finance domain-specific ap- plication for credit union, 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.293952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f03c437-5bc7-4f3e-aa43-f2e18ed7b461 · outbound

This paper cites Open FinLLM Leaderboard: Towards Financial AI Readiness.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Open FinLLM Leaderboard: Towards Financial AI Readiness

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T10:58:09.663834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a8f4798-48c0-47a6-a05d-d47a17f7a6df · outbound

This paper cites Zigong 1.0: A large language model for financial credit.arXiv preprint arXiv:2502.16159, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Zigong 1.0: A large language model for financial credit.arXiv preprint arXiv:2502.16159, 2025

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T10:58:09.666772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f2a2089-82e2-40b5-a5c7-c3b4f7372a8e · outbound

This paper cites Llms for financial advisement: A fair- ness and efficacy study in personal decision making.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Llms for financial advisement: A fair- ness and efficacy study in personal decision making

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.285857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06fc32ca-c550-452e-935c-787624ffcca1 · outbound

This paper cites Data-centric fingpt: Democratizing internet-scale data for financial large language models.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Data-centric fingpt: Democratizing internet-scale data for financial large language models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.278840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd5495f6-a25f-4b28-8a8c-1d7c9a84a7c6 · outbound

This paper cites Bridging Language Models and Financial Analysis.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Bridging Language Models and Financial Analysis

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:58:09.817863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 260afb47-a802-4b86-a696-9b321ae82859 · outbound

This paper cites PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T10:58:09.678588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bec37dd9-3af0-4e1e-ba63-4ec91b32791e · outbound

This paper cites Advanced default risk prediction in small and medum-sized enterprises using large language models.Applied Sciences, 15(5):2733, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Advanced default risk prediction in small and medum-sized enterprises using large language models.Applied Sciences, 15(5):2733, 2025

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.271514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b6f9024-f576-4f84-a95e-d1ed081d5ac5 · outbound

This paper cites Tagging enriched bank transactions using llm-generated topic taxonomies.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Tagging enriched bank transactions using llm-generated topic taxonomies

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.264621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02625e68-6f25-4f37-9928-691d54d6beed · outbound

This paper cites Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T10:58:09.686526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d385ae7-245e-4c2b-9162-e4c827b3ab9e · outbound

This paper cites Dynamic financial sentiment analysis and market forecasting through large language models.International Journal of Human Computations & Intelli- gence, 4(1):397–410, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Dynamic financial sentiment analysis and market forecasting through large language models.International Journal of Human Computations & Intelli- gence, 4(1):397–410, 2025

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.257903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfb20e7f-8ea3-4299-8e89-db1379922e14 · outbound

This paper cites Gpt classifications, with application to credit lending.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Gpt classifications, with application to credit lending

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.362758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f15ea5ad-6f90-4cb3-88d7-e156a4084b10 · outbound

This paper cites an unresolved cited work.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:58:10.251037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4546cc0c-056a-4e6b-bcba-96259e2b32e5 · outbound

This paper cites Chatgpt based credit rating and default forecasting.Journal of Data, Information and Management, pages 1–24, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Chatgpt based credit rating and default forecasting.Journal of Data, Information and Management, pages 1–24, 2025

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.243484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4d8c4e6b-5bde-4fd9-a0e6-50de5b276593 · outbound

This paper cites A novel weighted loss tabtransformer integrating explainable ai for imbalanced credit risk datasets.IEEE Access, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A novel weighted loss tabtransformer integrating explainable ai for imbalanced credit risk datasets.IEEE Access, 2025

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.235953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f1db602-9e5a-42c4-8197-f4415808738c · outbound

This paper cites Leveraging large language models for enhancing financial compliance: A focus on anti-money laundering applications.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Leveraging large language models for enhancing financial compliance: A focus on anti-money laundering applications

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.228544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb5bbe88-6b59-41ac-8fce-5c46e8439749 · outbound

This paper cites Systematic Evaluation of Long-Context LLMs on Financial Concepts.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Systematic Evaluation of Long-Context LLMs on Financial Concepts

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:58:09.798357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8d961be-40aa-4919-b7a9-e335207e445a · outbound

This paper cites Analyse customer behaviour and sentiment using natural language pro- cessing (nlp) techniques to improve customer service and personalize banking experiences.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Analyse customer behaviour and sentiment using natural language pro- cessing (nlp) techniques to improve customer service and personalize banking experiences

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.221143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eab4d572-5ebb-4fdd-9a2f-371e7fc40792 · outbound

This paper cites Harnessing earnings reports for stock predictions: A qlora-enhanced llm approach.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Harnessing earnings reports for stock predictions: A qlora-enhanced llm approach

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.213628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c762692e-fc9c-4c6f-822b-125d0064d26b · outbound

This paper cites Large language models and financial market sentiment.Available at SSRN 4584928, 2023.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models and financial market sentiment.Available at SSRN 4584928, 2023

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.206119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b97e1766-e4f9-4749-9a23-344c8254b7df · outbound

This paper cites Enhancing auto insurance risk evaluation with transformer and shap.IEEE Access, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Enhancing auto insurance risk evaluation with transformer and shap.IEEE Access, 2024

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.197453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e54287b0-7de7-4806-a130-68e12c4a2b90 · outbound

This paper cites Identifying representation bias in large language models used in financial sentiment analysis.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Identifying representation bias in large language models used in financial sentiment analysis

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.189390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 71ed9305-10ea-4a77-aaea-f94b09fd3ca6 · outbound

This paper cites Finben: A holistic financial benchmark for large language models.Advances in Neural Information Processing Systems, 37:95716– 95743, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Finben: A holistic financial benchmark for large language models.Advances in Neural Information Processing Systems, 37:95716– 95743, 2024

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.181314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0fdcc313-83e2-4baf-802f-9083d4343c02 · outbound

This paper cites Research on the application methods of large language model interpretability in fintech scenarios.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Research on the application methods of large language model interpretability in fintech scenarios

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.173073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ba908e59-7fb5-4215-882d-8e701662bfc9 · outbound

This paper cites At-fingpt: Financial risk prediction via an audio-text large language model.Finance Research Letters, 77:106967, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy At-fingpt: Financial risk prediction via an audio-text large language model.Finance Research Letters, 77:106967, 2025

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.165312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 739e8edd-ea39-439a-aa3f-4525eaa5c864 · outbound

This paper cites Secured framework for banking chatbots using ai, ml and nlp.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Secured framework for banking chatbots using ai, ml and nlp

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.158200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae1fb1ca-cd69-455e-8158-2db053a0e0b0 · outbound

This paper cites Ai in investment analysis: Llms for equity stock ratings.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Ai in investment analysis: Llms for equity stock ratings

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.151373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 71381c6b-0c0e-40db-9a16-8b3f6a98b7b7 · outbound

This paper cites Sentiment analysis in finance: From transformers back to explainable lexicons (xlex).

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Sentiment analysis in finance: From transformers back to explainable lexicons (xlex)

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.144237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc608f53-7fd6-40fc-b2a1-69822e3b4897 · outbound

This paper cites Understanding behaviour of large language models for short-term and long-term fairness scenarios.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Understanding behaviour of large language models for short-term and long-term fairness scenarios

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.135788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 074ae344-5083-4a48-a95d-543099db0a9e · outbound

This paper cites Gpt-lgbm: A chatgpt-based integrated framework for credit scoring with textual and structured data.Available at SSRN 4671511, 2023.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Gpt-lgbm: A chatgpt-based integrated framework for credit scoring with textual and structured data.Available at SSRN 4671511, 2023

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.128284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1c12a3b-1081-4e42-9937-5e63cea2020c · outbound

This paper cites an unresolved cited work.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:58:10.119999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ab56baf-f4bf-4295-a6d8-f48f5a26b9f0 · outbound

This paper cites Credit risk meets large language models: Building a risk indicator from loan descriptions in peer-to-peer lending.Available at SSRN 4979155.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Credit risk meets large language models: Building a risk indicator from loan descriptions in peer-to-peer lending.Available at SSRN 4979155

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.112035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2659c781-2d05-4750-8325-f8177923db46 · outbound

This paper cites Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T10:58:09.752873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22cbc49d-77f8-4ec0-b0a0-3c8054085c22 · outbound

This paper cites Beyond black-box ai: A theory of interpretable transformers for asset pricing.Available at SSRN, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Beyond black-box ai: A theory of interpretable transformers for asset pricing.Available at SSRN, 2025

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.104172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3db8d810-4086-42c9-ad81-f59a23f5091e · outbound

This paper cites Enhancing financial sentiment analysis via retrieval augmented large language models.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Enhancing financial sentiment analysis via retrieval augmented large language models

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:58:10.095647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers