Author

Minh N. Vu

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#artificial intelligence Preprint Sep 2026

One Model, Two Physical Stories: Auditing Misalignment in Multi-Modal World Modeling

This work focuses on two failures explicitly: internal misalignment, the disagreement between the world model's generated video and the same world model's prediction in a different modalities, and external misalignment, the disagreement between the world model's generation and an analytic physical environment.

Geigh Zollicoffer, M. Vu, R. Ranasinghe et al. · 0 citations

#small language model Open access Aug 2026

Multi-Peptide Prompting Enables In-Context Learning in Protein Language Models

It is shown that single-sequence PLMs can perform in-context peptide learning without gradient updates, task-specific retraining, or architectural modification, and MPEP conditioning is established as a lightweight strategy for low-data peptide classification.

Joshua Almonte, M. Vu, Andrew Ahn et al. · bioRxiv · 0 citations