Papers by Changsik Kim

1 papers
SCRIPTMIND: Crime Script Inference and Cognitive Evaluation for LLM-based Social Engineering Scam Detection System (2026.eacl-industry)

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Challenge: Large Language Models (LLMs) have shown promise in identifying deception, but their cognitive assistance potential remains underexplored.
Approach: They propose a framework for LLM-based scam detection that bridges automated reasoning and human cognition.
Outcome: The proposed framework outperforms GPT-4o in the Korean scam detection and phone scam simulations.

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