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.CL2024
Targeted Efficient Fine-tuning: Optimizing Parameter Updates with Data-Driven Sample Selection
Ming Dong, Kang Xue, Bolong Zheng +1
Fine-tuning all parameters of Large Language Models (LLMs) is computationally expensive. Parameter-Efficient Fine-Tuning (PEFT) methods address this by selectively fine-tuning spec…