Author

Chang Yu

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#artificial intelligence Preprint Oct 2026

E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-Distillation

On-policy self-distillation (OPSD) provides dense token-level supervision without a second model: one network acts as teacher with the reference solution and as student with only the problem. We identify a specific failure mode of this recipe. During training, student token entropy rises past the teacher's and remains...

Yi-Fei Liu, Ming-Hao Fang, Xin-Yu Gu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Bison: Cross-Dataset Learning for Unseen-Compound Perturbation Prediction

Joint training of matched drug contrasts turn complementary screens into shared molecular supervision for unseen-drug response prediction while preserving native gene measurements, demonstrating how matched drug contrasts can coexist with weak prediction of drug-specific differences.

Yun-Fan Liu, Kasra Ghorbani, Yu-Fei Huang et al. · 0 citations