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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.