4 papers
LLM-based Realistic Safety-Critical Driving Video Generation
Yongjie Fu, Ruijian Zha, Pei Tian +1
Designing diverse and safety-critical driving scenarios is essential for evaluating autonomous driving systems. In this paper, we propose a novel framework that leverages Large Lan…
Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events?
Bowen Fang, Ruijian Zha, Xuan Di
Predicting public transit incident duration from unstructured text alerts is a critical but challenging task. Addressing the domain sparsity of transit operations with standard Sup…
A New DAPO Algorithm for Stock Trading
Ruijian Zha, Bojun Liu
Recent advances in reinforcement learning, such as Dynamic Sampling Policy Optimization (DAPO), show strong performance when paired with large language models (LLMs). Motivated by…
LAVID: An Agentic LVLM Framework for Diffusion-Generated Video Detection
Qingyuan Liu, Yun-Yun Tsai, Ruijian Zha +4
The impressive achievements of generative models in creating high-quality videos have raised concerns about digital integrity and privacy vulnerabilities. Recent works of AI-genera…