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An automated annotation system for rare AEB events boosts recall by 80% while slashing manual workload in half, paving the way for smarter vehicle safety systems.
LinkVLA tackles the language-action misalignment problem in autonomous driving by unifying language and action tokens in a shared space, leading to faster and more accurate instruction following.
MLLMs that ace simple traffic rules still struggle when multiple rules interact, especially when they conflict, revealing a critical gap in their ability to handle real-world driving complexity.
