Author

Yatao Bian

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#artificial intelligence Preprint Oct 2026

Learning Perturbation-Specific Representations through Conditional Energy Prior for Cellular Response Prediction

AI-based cellular perturbation prediction is essential to accelerate drug discovery and therapeutic identification. However, perturbation-specific signals are generally obscured by cellular complexity, making it difficult for existing methods to correctly capture perturbation effects. To address this problem, we propos...

Yu-Chen Yan, Ya-Tao Bian · 0 citations

Preprint Aug 2026

Escaping Confidence Trap: Evolutionary Decoding for Mathematical Reasoning in Diffusion LLMs

This work analyzes the decoding trajectories of LLaDA 2.0 and identifies a recurring diffusion confidence trap, which improves LLaDA 2.0 over confidence-based decoding, leading to more reliable mathematical reasoning.

Zhenhong Sun, Han-Qing Zhao, Yatao Bian et al. · 0 citations