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cs.LG2025
FairLRF: Achieving Fairness through Sparse Low Rank Factorization
Yuanbo Guo, Jun Xia, Yiyu Shi
As deep learning (DL) techniques become integral to various applications, ensuring model fairness while maintaining high performance has become increasingly critical, particularly…
cs.LG2024★ 1 cited
EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs
Song Guo, Fan Wu, Lei Zhang +5
Existing methods for fine-tuning sparse LLMs often suffer from resource-intensive requirements and high retraining costs. Additionally, many fine-tuning methods often rely on appro…