Model Merging; Large Language Models; Alignment

1 paper across 1 session

Poster Session 5

Friday, December 5, 2025 · 11:00 AM → 2:00 PM

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging

#1413 · Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Ziyu Zhao, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang

This study presents the first comprehensive investigation into model merging and data mixture strategies for constructing large language models (LLMs) aligned with the 3H principles (Harmlessness, Helpfulness, Honesty).