arXiv Machine Learning
Enhancing Diffusion Language Models with Autoregressive Post-Training Weights
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Enhancing Diffusion Language Models with Autoregressive Post-Training Weights
Diffusion language models (dLLMs) have emerged as a promising alternative to autoregressive (AR) language models, offering flexible token-update orders and parallel decoding. Recent dLLMs are often in...
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