Author

Zixuan Fu

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#artificial intelligence Preprint Sep 2026

Rethinking On-Policy Distillation of Large Language Models II: One Training Example

On-policy distillation (OPD) combines student-generated rollouts with dense token-level supervision from a teacher. Existing work has mainly studied its algorithmic behavior, leaving the role of training data unclear. We examine this role at the data-minimal limit by training on a single query. One-shot OPD keeps impro...

Zi-Xuan Fu, Bing-Xiang He, Yu-Xin Zuo et al. · 21 citations · ⚡1

Preprint Aug 2026

MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement

MathForm is introduced, an autoformalization framework for constructing verified training data through Mathlib knowledge retrieval and verification-guided iterative refinement, and outperforming multiple specialized 32B autoformalizers.

Lushi Pu, Weiming Zhang, Xinheng Xie et al. · 0 citations

Preprint Jul 2026

UltraX: Refining Pre-Training Data at Scale with Adaptive Programmatic Editing

UltraX is proposed, a function-calling refinement framework for large-scale pre-training data that completes the editing function space by introducing insertion in addition to deletion and modification, enabling fine-grained instance-level editing.

Xinlong Zhao, Dongsheng Liu, Hengyu Zhao et al. · 0 citations