两篇论文被 ACL 2026 接收
团队两篇论文被 ACL 2026 接收，包括一篇主会论文和一篇 Findings 论文，分别研究混合专家模型的高效推理与大语言模型的高效全参数微调。
论文
- Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference
Baihui Liu, Kaiyuan Tian, Wei Wang, Zhaoning Zhang, Linbo Qiao, Dongsheng Li.
The 64th Annual Meeting of the Association for Computational Linguistics (ACL). 2026 - GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning
Kaiyuan Tian, Yu Tang, Gongqingjian Jiang, Baihui Liu, Yifu Gao, Xialin Su, Linbo Qiao, Dongsheng Li.
Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL Findings). 2026