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Traffic element awareness can dramatically elevate the performance of autonomous driving systems, achieving state-of-the-art results with minimal architectural changes.
Cross-modal focus misalignment in drone views can be mitigated, leading to a substantial boost in fine-grained image-text retrieval accuracy.
LLM-based multi-agent systems can more than double their performance and slash token usage by organizing themselves like a company, with distinct governance, execution, and compliance layers.
End-to-end driving gets a reliability boost: UniUncer's unified uncertainty framework slashes trajectory error by 7% and improves driving performance by 10.8% in challenging scenarios.
