2601.02967
2026-01-09
cs.SD
cs.AI
eess.AS
62%
MoE Adapter for Large Audio Language Models: Sparsity, Disentanglement, and Gradient-Conflict-Free
用于大型音频语言模型的MoE适配器:稀疏性、解耦与梯度无冲突
Yishu Lei, Shuwei He, Jing Hu, Dan Zhang, Xianlong Luo, Danxiang Zhu, Shikun Feng, Rui Liu, Jingzhou He, Yu Sun, Hua Wu, Haifeng Wang
机构
*
ERNIE Team, Baidu(百度ERNIE团队)
;
College of Computer Science, Inner Mongolia University(内蒙古大学计算机学院)
;
Tsinghua Shenzhen International Graduate School, Tsinghua University(清华大学深圳国际研究生院)
专题命中
音频语音多模态
:multimodal(abstract);分类 cs.AI、eess.AS
AI总结
本文提出MoE-Adapter,通过稀疏混合专家架构解耦音频信息,缓解梯度冲突,提升音频语义和非语言任务的性能。