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  "text": "Introspective Diffusion Language Models\n\n\"To the best of our knowledge, I-DLM is the first DLM to match the  quality of its same-scale AR counterpart while outperforming prior DLMs  in both model quality and practical serving efficiency across 15  benchmarks.\"\n\n\"we introduce Introspective Diffusion Language Model (I-DLM), a paradigm  that retains diffusion-style parallel decoding while inheriting the  introspective consistency of AR training. I-DLM uses a novel  introspective strided decoding (ISD) algorithm, which enables the model  to verify previously generated tokens while advancing new ones in the  same forward pass.\"",
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