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Xiaoliang Shi

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#artificial intelligence Preprint Sep 2026

Does Learning Protein Folding Generalize to Broader Reasoning?

Large language models rely heavily on human text, which often conveys surface answers rather than the spatial and structural logic behind them. Protein folding is a natural testbed, because one solved structure yields thousands of exactly checkable spatial and topological statements. We ask: can learning to fold protei...

Yong Liu, Zhan-Peng Shi, Yi-Zhou Dang et al. · 0 citations
Open access Aug 2026

Integrated Natural Language Processing Algorithms for Automatic Feedback in English Writing: Improving Student Learning Outcomes Through Technology

English writing is a core component of language learning and an important indicator of students’ comprehensive language application ability. Traditional writing instruction often faces heavy teacher correction workload, delayed feedback, inconsistent evaluation standards, and insufficient personalized guidance. This st...

Yong Liu, Xiaoliang Shi · 0 citations
Jul 2026

Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design

AAMFM, an Antigen-specific Antibody Multimodal Foundation Model that learns unified representations of antibody sequences and structures conditioned on antigen context, achieves state-of-the-art performance in functional antibody design, revealing its potential for antigen-specific antibody engineering.

Xiaoliang Shi, Zichen Wang, Runze Ma et al. · 0 citations

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