Reinforcing the Generation Order of Multimodal Masked Diffusion Models
Diffusion Language Models (DLMs) have recently achieved substantial progress in natural language generation tasks. Recent research demonstrates that adaptive token generation ordering can significantly improve performance in mathematical reasoning and code synthesis applications. In this work, we investigate the optimization of generation order for both text-to-image synthesis and multimodal understanding. We first establish that, unlike structured problems in language generation such as Sudoku
Record details
Published: 9 July 2026
Source: arXiv
Category: Research
Topics: Finance, VC & PE
Retrieved: 14 July 2026
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ethics.ai (9 July 2026), “Reinforcing the Generation Order of Multimodal Masked Diffusion Models,” evidence record 99, https://ethics.ai/record/99 (originally published by arXiv).
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