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Logical validity can be accurately decoded from hidden states of language models, even when their outputs are incorrect, revealing a critical gap between representation and expression.
Achieving a staggering 99.50% acceptance rate in synthetic dialogue generation reveals the transformative power of feedback-guided refinement in meeting complex communicative constraints.
