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cs.AI2026
Human-Centered LLM-Agent System for Detecting Anomalous Digital Asset Transactions
Gyuyeon Na, Minjung Park, Hyeonjeong Cha +1
We present HCLA, a human-centered multi-agent system for anomaly detection in digital-asset transactions. The system integrates three cognitively aligned roles: Rule Abstraction, E…
cs.AI2025
Improving Cryptocurrency Pump-and-Dump Detection through Ensemble-Based Models and Synthetic Oversampling Techniques
Jieun Yu, Minjung Park, Sangmi Chai
This study aims to detect pump and dump (P&D) manipulation in cryptocurrency markets, where the scarcity of such events causes severe class imbalance and hinders accurate detection…