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Incremental Risk Assessment of Progressive Elder Financial Scams via Instruction-Tuned Small Language Models
Author1, Author2, Author3, Author4, Author5
fine-tuningrisk assessmentlanguage modelsfraud detection
2609.00005
Builder Relevance
1h ago80%
Abstract
This paper presents a framework for incremental risk assessment of elder financial scams using small language models.
Reality Card
Core Claim
The study demonstrates that fine-tuned small language models can effectively perform turn-aware risk estimation for elder financial scams in resource-constrained environments.
Method / Result
Phi-4 and LLaMA-3.2 achieved stronger turn-aware risk estimation performance relative to their parameter scale.
Limitations
The main limitation is the potential variability in model performance across different scam scenarios and the need for extensive dialogue datasets for broader applicability.
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