作者位次 #2/11ACL 2026Findings· Findings of ACL
Enhancing Multilingual Reasoning via Steerable Model Merging
Zhuoran Li · Rui Xu · Jian Yang · Junnan Liu · Zhijun Chen · Qianren Mao · Hongcheng Guo · JIAHENG LIU · Likang Xiao · Ming LI · Xiaojie Wang
摘要
Model merging is an effective technique for composing the capabilities of a multilingual model and a reasoning model. It has achieved promising generalization in multilingual reasoning tasks by aligning feature spaces of different models. However, the merged single model often fails to address th...