Team Introduction

:The Risk Control R&D Team is dedicated to addressing various challenges posed by malicious activities across products. Their work spans multiple domains of risk governance such as content, transactions, traffic, and accounts. By leveraging technologies such as machine learning, multimodal models, and large models, the team strives to understand user behaviors and content, thereby identifying potential risks and issues. By continuously deepening their understanding of business and user behaviors, the team drives innovation in models and algorithms with an aim to build an industry-leading risk control algorithm system. Project Objectives:
Optimize and enhance large models' ability to understand and reason about structured data (sequential data, graph data) based on risk control data. Project Necessity:
Data in risk control scenarios is primarily structured, while large models have significantly improved their understanding of text and images. Integrating n...