Author

Lun Liu

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Preprint Aug 2026

Step-Level On-Policy Distillation: Interpolating Between On-Policy Distillation and Supervised Fine-Tuning

Step-Level On-Policy Distillation is proposed, which combines the long-horizon correction of supervised fine-tuning (SFT) with the on-policy advantage of OPD to provide step-level supervision over complete student-generated trajectories and substantially outperforms conventional SFT and OPD.

Changhui Sun, Lan-Bo Liu, Hang Lei et al. · 2 citations

Preprint Aug 2026

MDLMPE: Distribution Aware Positional Encoding for Masked Diffusion Language Models

MDLMPE is the first method to make positional representations explicitly aware of the changing revealed/masked configuration, and the complete combination of availability state, Gaussian locality, spectral basis, and embedding injection yields the strongest result.

Tong-Tong Ling, Hang Lei, Feng Xiao et al. · 0 citations

Jul 2026

DiffGCC: diffusion-enhanced global–local graph contrastive clustering

DiffGCC is a generative graph contrastive clustering framework that couples global–local feature encoding with a latent-space diffusion denoising mechanism and substantially outperforms existing methods across ACC, NMI, ARI, and F1, with particularly strong gains on denser, noisier product graphs.

Lun Liu, Chengyun Song · Pattern Analysis and Applica... · 0 citations