Liangkun Niu

TrafficAlign: Aligning Large Language Models for Traffic Scenario Generation

Recent research has investigated the use of large language models (LLMs) to generate traffic scenarios for autonomous driving. However, pretrained LLMs often fail to align with real-world traffic distributions. In this work, we present TrafficAlign, an automated framework that synthesizes traffic sc