TrafficAlign synthesizes scenarios from videos to align LLMs, producing tests that detect 10.8% more collisions than prior methods and enable 36.1% collision reduction after fine-tuning the driving models.
Chain-of- thought prompting elicits reasoning in large language mod- els.Advances in Neural Information Processing Systems, 35: 24824–24837, 2022
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TrafficAlign: Aligning Large Language Models for Traffic Scenario Generation
TrafficAlign synthesizes scenarios from videos to align LLMs, producing tests that detect 10.8% more collisions than prior methods and enable 36.1% collision reduction after fine-tuning the driving models.