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cs.LG2025
Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation
Hefei Xu, Le Wu, Chen Cheng +1
With the rapid advancement of large language models (LLMs), aligning them with human values for safety and ethics has become a critical challenge. This problem is especially challe…
cs.LG2025
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning
Dacao Zhang, Kun Zhang, Shimao Chu +3
With the rapid development of Large Language Models (LLMs), Parameter-Efficient Fine-Tuning (PEFT) methods have gained significant attention, which aims to achieve efficient fine-t…