2 papers
cs.CL2025
DSCD: Large Language Model Detoxification with Self-Constrained Decoding
Ming Dong, Jinkui Zhang, Bolong Zheng +3
Detoxification in large language models (LLMs) remains a significant research challenge. Existing decoding detoxification methods are all based on external constraints, which requi…
cs.CL2025
FISH-Tuning: Enhancing PEFT Methods with Fisher Information
Kang Xue, Ming Dong, Xinhui Tu +1
The rapid growth in the parameter size of Large Language Models (LLMs) has spurred the development of Parameter-Efficient Fine-Tuning (PEFT) methods to mitigate the substantial com…