4 papers
Knowledge-Based Zero-Replay Debugging of Multi-Agent LLM Traces
Dong Ho Kang, Hyeonjeong Cha, Daein Weon
Reliable operation of multi-agent large language model (LLM) systems depends on debugging long execution traces, where the few causally decisive events are buried in unstructured l…
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…
Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions
Gyuyeon Na, Minjung Park, Hyeonjeong Cha +6
Blockchain transaction networks are complex, with evolving temporal patterns and inter-node relationships. To detect illicit activities, we propose a hybrid GCN-GRU model that capt…
HyPV-LEAD: Proactive Early-Warning of Cryptocurrency Anomalies through Data-Driven Structural-Temporal Modeling
Minjung Park, Gyuyeon Na, Soyoun Kim +3
Abnormal cryptocurrency transactions - such as mixing services, fraudulent transfers, and pump-and-dump operations -- pose escalating risks to financial integrity but remain notori…