Bingjie Zi

Neuro-symbolic constraint verification for LLM-driven internet finance transaction execution

Large language model (LLM) agents cannot guarantee that their outputs satisfy the hard business rules that govern financial transactions. We present the Verifier-Actor Neuro-Symbolic Framework ( VA-NSF ), a dual-layer architecture that separates natural language understanding from formal constraint enforcement fo...

Next-eneration Payment Fraud Intelligence with Large Language Models and Event-Driven Architectures

Next-Generation Payment Fraud Intelligence with Large Language Models and Event-Driven Architectures

Payment fraud detection at scale must reconcile three pressures: the streaming nature of transaction events, the cost-sensitivity of false alerts, and the practical need for models that can be trained and refreshed on commodity hardware. Recent work has explored advanced text representation models and event-driven arch...