Author

Fanyi Pu

Nanyang Technological University

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Conference Open access Sep 2026

Unlocking More Granular Control of Memory-Efficient LLM Finetuning

This work systematically investigates the impact of the projection unit on LoRP methods, and extends existing LoRP approaches by introducing an additional degree of freedom, projection granularity, beyond the traditional rank hyperparameter, which enables a framework capable of performing fine-grained projections, whic...

Yezhen Wang, Zhou-Hao Yang, Fanyi Pu et al. · Proceedings of the Thirty-Fi... · 0 citations

#machine learning Preprint Aug 2026

VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning

This work introduces VBVR-Pro, a closed-loop testbed that makes native visual reasoning through generation trainable, verifiable, optimizable, and experimentally controllable, and identifies recurring failure modes of the prevalent VLM-as-a-judge paradigm.

Junhua Xu, Rui-Si Wang, Fanyi Pu et al. · 5 citations

Jul 2026

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing

The results show that careful tokenizer--backbone--system co-design can deliver strong high-resolution generation and editing within an efficient 4B model family.

Xinjie Zhang, Peng Zhang, Shicheng Zheng et al. · arXiv.org · 2 citations