Author

Zhenchao Tang

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Preprint Aug 2026

PertMind: Eliciting Emergent Biological Reasoning in LLM via Reinforcement Learning on Cellular Perturbation Data

Large language models can describe mechanisms, yet scalable post-training still depends on costly, manually curated biological reasoning traces. Here we show that cellular perturbation atlases can instead become reinforcement-learning environments, where measured gene responses provide computable rewards for biological...

Zhen-Chao Tang, Xiaogang Xu, Tian-Xu Lv et al. · 0 citations

#protein folding Open access Aug 2026

Alternative splicing expands and remodels the breast cancer proteoform landscape

The results show that alternative transcript diversity extensively enters translation-supported proteoform space and establish a systematic link between transcript variation and protein functional diversification.

Felicia T. Jiang, Dengwang Chen, Ziwei Wang et al. · bioRxiv · 1 citation

#small language model Review Aug 2026

LLM-based Agents for Forecasting and Prediction: Methods, Training, Evaluation, and Applications

This work investigates LLM-based forecasting agents, meaning systems in which a language model contributes to a scored prediction about a future or currently unobserved target, and organizes architectures into three groups.

Xiao-Gang Xu, Jiaqi Tang, Jianmin Chen et al. · 0 citations

Preprint Jul 2026

Branch-JEPA: Finite-Support Predictive Distributions for JEPA World Models

Branch-JEPA is introduced, which replaces this point-valued transition with a context-weighted finite set of latent successors, and preserves more distinct futures, while full-set scoring improves the quality of the resulting predictive distribution.

Zhi Song, Ximing Xing, Zhenchao Tang et al. · 0 citations