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Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs New Metrics
Diffusion language models (DLMs) have emerged as the leading non-autoregressive alternative to language modeling. Because their likelihoods are intractable, generative perplexity (gen-PPL) has become the de facto standard for reporting unconditional generation quality. We analyze why gen-PPL is unre
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