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Boston University
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High-risk obstacles can now dynamically influence safety margins in real-time navigation, enhancing both teleoperation and autonomous control.
Stop feeding LLMs redundant and conflicting sensor data in autonomous driving: a new architecture slashes hallucinated entities by coordinating multi-sensor inputs *before* reasoning.
Open-sourcing a VLA model that beats closed-source giants on embodied reasoning tasks could finally make real-world robot deployment practical.
Fine-tuning language models on role-specific representations bridges the semantic gap in cognitive diagnosis, substantially boosting performance across diverse educational tasks.
