Hengxiang Zhang
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126
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NLP×1ML×1
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2026
Understanding Evaluation Illusion in Diffusion Large Language Models
This paper evaluates the consistency and effectiveness of decoding methods for diffusion large language models (dLLMs) across diverse evaluation settings and reveals their sensitivity to prompt templates.
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