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Kong Center for Construction Robotics
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Urban facade reconstruction can achieve superior geometric accuracy by integrating lightweight structural supervision, overcoming common pitfalls of traditional methods.
LLMs have a fundamental Shannon capacity: scaling model size or data without preserving a sufficient signal-to-noise ratio inevitably degrades performance.
LLMs exhibit systematic gender bias and heteronormative assumptions when processing long-form text, even in the absence of explicit gender cues.