We have 3 of 20 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Although uniform diffusion language models (UDLMs) represent a promising diffusion paradigm, scaling them remains challenging. We identify the core obstacle as an over-uniform training objective and condition-target confusion during sampling. To address these, we propose Less Uniform Diffusion (LUDI), a novel UDLM fram...
It is demonstrated that strengthening the understanding capability of the Boogu-Image system, through a stronger multimodal encoder, agentic prompt rewriting, and related techniques, together with improvements in data quality, training pipelines, and agentic inference-time scaling, can substantially enhance generation...
AdaMTP is proposed, an adaptive training paradigm that dynamically aligns the prediction horizon with the intrinsic predictability of the sequence, and consistently outperforms standard MTP in both task performance and inference speedup.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
