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Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
v1v2 (latest)

Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation

Annual Meeting of the Association for Computational Linguistics (ACL), 2025
15 February 2025
Guofu Xie
Xiao Zhang
Ting Yao
Yunsheng Shi
    MoMe
ArXiv (abs)PDFHTML

Papers citing "Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation"

3 / 3 papers shown
OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment
OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment
Guanbin Li
Zhihao Xu
Junhao Dong
Jian Zhao
Yuchen Yuan
...
Zhengtao Yao
Huahui Yi
Dongrui Liu
Xinfeng Li
Kun Wang
233
1
0
29 Sep 2025
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors
Ren-Wei Liang
Chin-Ting Hsu
Chan-Hung Yu
Saransh Agrawal
Shih-Cheng Huang
Shang-Tse Chen
Kuan-Hao Huang
Shao-Hua Sun
329
0
0
27 Apr 2025
Pareto-Optimal Learning from Preferences with Hidden Context
Pareto-Optimal Learning from Preferences with Hidden Context
Ryan Boldi
Li Ding
Lee Spector
S. Niekum
307
7
0
21 Jun 2024
1