Author

Guo-Hua Liu

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#artificial intelligence Preprint Oct 2026

Rethinking Cross-Tokenizer On-Policy Distillation: From Alignment Coverage to Supervision Reliability

On-Policy Distillation (OPD) trains a student on its own generations using teacher feedback. With different tokenizers, comparing teacher and student predictions requires alignment at both sequence and vocabulary levels. In this paper, we examine whether expanding this alignment coverage improves learning. Across three...

Bing-Xi Hou, Guochao Jiang, Guo-Feng Quan et al. · 0 citations

Preprint Aug 2026

Knowing When Not to Reuse: Conditional Experience Transfer in Autonomous LLM Post-Training

Conditional experience transfer is formulated as conditional experience transfer and Boundary-Calibrated Intervention Transfer is introduced, a method that authorizes experience reuse before weight-changing training and attains higher equal-budget final-model quality than the evaluated alternatives.

Ting Li, Wen-Feng Feng, Wei-Qin Li et al. · 0 citations