LLM embeddings from policy text outperform hand-engineered features in a GLM for French motor insurance claim frequency, with larger gains at small sample sizes and further improvement from insurance-specific fine-tuning.
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UNVERDICTED 2representative citing papers
CNN-LSTM and GNN-LSTM models added to a Lee-Carter baseline reduce test MSE by about 24% versus MortFCNet on French regional mortality data from 1990-2019, with largest gains at oldest ages.
citing papers explorer
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Semantic insurance pricing with large language models
LLM embeddings from policy text outperform hand-engineered features in a GLM for French motor insurance claim frequency, with larger gains at small sample sizes and further improvement from insurance-specific fine-tuning.
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Climate-Driven Mortality Forecasting Using Deep Learning
CNN-LSTM and GNN-LSTM models added to a Lee-Carter baseline reduce test MSE by about 24% versus MortFCNet on French regional mortality data from 1990-2019, with largest gains at oldest ages.