Author

Hua Liu

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#artificial intelligence Book Open access Aug 2026

SIMS: Scale-Invariant Merit-Function-Based Scalarization for Multi-Task Learning

SIMS adopts a transformation-induced merit function to convert the MOO problem of MTL to a single objective that renders optimization invariant to the magnitudes of losses, and proves that the requirement for scale invariance uniquely determines this transformation to be logarithmic.

Ze-Bin Chen, Fei Xing, Yang Chen et al. · Proceedings of the 32nd ACM... · 0 citations

Preprint Aug 2026

Learning What Not to Learn: Adversarial Disentangled Prompt Tuning for Robust Vision-Language Models

ADAPT (Adversarial Disentangled Prompt Tuning), a robust prompt tuning framework following the philosophy of ``Learning What Not to Learn,'' is proposed, which substantially improves the robustness of the target prompt on unseen classes.

Yang Chen, Zhuang Zhan, Yanbin Wei et al. · 0 citations