Author

Xiao Cui

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#machine learning Preprint Sep 2026

Revisiting On-policy Adversarial Black-Box Distillation: Calibrating Groupwise Reward Geometry for Effective Advantage Construction

Black-box distillation is a practical route for transferring capabilities from API-accessible large language models that expose only text outputs into smaller student models. Recent on-policy adversarial methods such as GAD improve over SeqKD by forming an adversarial loop between a critic and a student, where the crit...

Xiao Cui, Mo Zhu, Yu-Lei Qin et al. · 1 citation

#artificial intelligence Preprint Sep 2026

DiffWAM: A Fast and Efficient Navigation World Action Model

Pretrained video foundation models encode rich semantic and spatiotemporal priors for embodied navigation, yet converting these priors into UAV motion typically requires expensive future-video synthesis and geometric reconstruction. We investigate whether the motion implicit in future visual prediction can instead be r...

Morui Zhu, Yu-Ze Wu, Xi-Jie Huang et al. · 0 citations

Aug 2026

Flexible Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on LLMs and Beyond.

Knowledge distillation (KD) has become a prevalent technique for compressing large language models (LLMs). Existing KD methods are constrained by the need for identical tokenizers (i.e., vocabularies) between teacher and student models, as they assume a consistent semantic correspondence across logit dimensions, limiti...

Xiao Cui, Mo Zhu, Yu-Lei Qin et al. · IEEE Transactions on Pattern... · 0 citations