2 papers
cs.CL2025
Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models
Haomin Qi, Chengbo Huang, Zihan Dai +1
We present a governance-aware hybrid fine-tuning framework for multilingual, low-resource adaptation of large language models. The core algorithm combines gradient-aligned low-rank…
cs.CV2024
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning
Qingsong Lv, Jiasheng Sun, Sheng Zhou +6
To reduce computational overhead while maintaining model performance, model pruning techniques have been proposed. Among these, structured pruning, which removes entire convolution…