Vol. 2026, 2026June 22, 2026 EDT
Leveraging Large Language Models for Unstructured Claims Data Analysis
Leveraging Large Language Models for Unstructured Claims Data Analysis
Large language modelsunstructured claims dataactuarial variablesclaims analysisnatural language processingactuarialreservingfeature extractionanalysis systemsynthetic data
Articles in Vol. 2026, 2026
Vol. 2026, 2026
- A Scalable Toolbox for Exposing Indirect Discrimination in Insurance RatesOlivier CôtéMarie-Pier CôtéArthur Charpentier
- The Reserving Impact of the COVID-19 PandemicChoya Everett
- Leveraging Large Language Models for Unstructured Claims Data AnalysisRobert LieberthalRichard TranVietbao PhanJawand SinghElizabeth Sottung
- A Quantitative Approach to Evaluate Climate Change Impact on Typhoon Risk with a Case Study in the Western North Pacific BasinYizhong QuZhongdong DuanXiaoxuan (Sherwin) LiLei PeiJi (Jeff) Yao
- The TeamAnalyst AI Tool: Your Personal P&C Actuarial TeamBryce ChamberlainEsther BeckerKen ZessoJack TarantinoChris McKenna
- Quantifying Social Inflation in Liability Insurance with Advanced Statistical MethodsTsz Chai FungLiang PengFang YangLie Ma
Lieberthal, Robert, Richard Tran, Vietbao Phan, Jawand Singh, and Elizabeth Sottung. 2026. “Leveraging Large Language Models for Unstructured Claims Data Analysis.” CAS Forum 2026 (June).