New RL Approach Targets Label Bias in E-Commerce Fraud Detection
An arXiv paper proposes a dual-stream LLM-guided reward design for reinforcement learning that accounts for reject inference, addressing how blocked transactions never receive fraud labels in production fraud models.
Read the full story at arXiv cs.LG ↗