NEURIPS 2025 "memory-efficient fine-tuning" Papers
3 papers found
EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction
Hsi-Che Lin, Yu-Chu Yu, Kai-Po Chang et al.
NEURIPS 2025posterarXiv:2506.12015
PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
Pengyun Yue, Xuanlin Yang, Mingqing Xiao et al.
NEURIPS 2025poster
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
Yong Liu, Zirui Zhu, Chaoyu Gong et al.
NEURIPS 2025posterarXiv:2402.15751
36
citations