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Predict, Don't Iterate: Efficient Adaptive-Length Infilling for Diffusion Language Models
Diffusion language models (DLMs) have emerged as a promising alternative to the auto-regressive paradigm. With bidirectional attention and any-order generation, DLMs naturally fit infilling tasks, which require generating a middle span conditioned on both the prefix and the suffix. However, infillin
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