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Cheng-Qing Zong

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Jul 2026

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs

Model merging plays a crucial role in consolidating multiple specialized models into a single, unified model, especially in the era of large language models (LLMs). Recent research has primarily focused on developing strategies to enhance merging performance with the trained models, while the impact of training paradig...

Zi-Xuan Ren, Jinliang Lu, Junhong Wu et al. · 0 citations

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