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Xidian University
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DB-Nav redefines object navigation by effectively filtering out misleading cues, leading to a dramatic increase in navigation success rates.
Achieving nearly one-pixel precision in lunar rover localization without GNSS signals could revolutionize autonomous exploration on the Moon.
Current video MLLMs struggle to grasp fleeting visual events, with top models barely surpassing 39% accuracy on critical momentary tasks.
Stop rewarding reasoning that just looks good – reward reasoning that actually *helps* the downstream model solve the task.
