Author

Ying-Qi Fan

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#artificial intelligence Preprint Oct 2026

DIAL-OPD: Learning More from Fewer Tokens in On-Policy Distillation

On-policy distillation (OPD) supervises student-generated trajectories with token-level teacher signals. Its sampled-token variant avoids the cost of full-vocabulary probabilities. Yet we find that training on fewer tokens can outperform full-token OPD, challenging the intuition that more supervision improves learning....

An-Hao Zhao, Hao-Ran Xin, Jun-Long Tong et al. · 0 citations

#artificial intelligence Preprint Sep 2026

DIAL: Position-Debiased LLM Judges with Adaptive Human Preference Calibration

DIAL is introduced, a unified framework that combines abundant LLM comparisons with limited human comparisons to separate judge-specific position effects, learn shared structure in position-debiased LLM preferences, and adaptively calibrate that structure toward the human preference target.

Ze-Sheng Cai, Ying-Qi Fan, Si-Chang Chen et al. · 0 citations