Author

Chang-Kun Guan

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#artificial intelligence Preprint Oct 2026

Match the Canvas, Not Just the Answer: Predictability-Aware SFT for Diffusion Language Models

Diffusion language models (DLMs) enable flexible parallel generation by resolving tokens according to the model's evolving predictability rather than a fixed left-to-right order. This flexibility, however, introduces training choices absent from standard autoregressive teacher forcing: which reference tokens are visibl...

Miao Li, Han-Yang Jiang, Heng-Yu Fu et al. · 0 citations

#machine learning Preprint Sep 2026

The Role of Coordinates in Pareto Regret for Adversarial Multi-Objective Bandits

A reward-doubling version of Poly-INF that adapts to this unknown quantity while still attaining the matching minimax rate and develops a lower bound on Pareto regret that exhibits the same order and thus matches the lower bound.

Chang-Kun Guan, Meng-Fan Xu · 0 citations