Author

Yifan Yang

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Preprint Aug 2026

ZOMP: Zeroth-Order Multi-Modal Prompt Tuning for Vision-Language Models

This work proposes ZOMP (Zeroth-Order Multimodal Prompt tuning), a query-efficient, fully forward-only method that tunes deep prompts in both the vision and text branches of a frozen CLIP model using simultaneous perturbation stochastic approximation.

Sajjad Ghiasvand, Yifan Yang, Mahnoosh Alizadeh et al. · 1 citation

#artificial intelligence Jun 2026

GRZO: Group-Relative Zeroth-Order Optimization for Large Language Model Fine-Tuning

GRZO is a Group-Relative Zeroth-Order optimizer that draws one pseudo-independent perturbation per mini-batch example and aggregates the per-example losses through group-relative normalization, raising the effective gradient-direction count from one to the batch size at no additional forward cost while preserving infer...

L. Tan, Yequan Zhao, Yifan Yang et al. · arXiv.org · 0 citations