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Chaemi Jang

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Review Jul 2026

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe

For applications that require per-persona outputs, the same model that cannot sample from a distribution can describe it accurately in a single call, and is proposed Prompt-Perturbed Argyle (PPA), which reduces the same error by 21% at no added cost.

Chaemi Jang, Dongman Lee, Jihee Kim · 0 citations