Papers citing 'Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts'

Title
Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models X. S. Hu Zhanchao Zhou Ruiqi Liang Zehuan Li Wei Wu Jianguo Li 212 0 0 28 Nov 2025
Route Experts by Sequence, not by Token Tiansheng Wen Y. Wang Aosong Feng Long Ma Xinyang Liu Y. Wang Lixuan Guo Bo Chen Stefanie Jegelka Chenyu You MoE 154 1 0 09 Nov 2025
Recycling Pretrained Checkpoints: Orthogonal Growth of Mixture-of-Experts for Efficient Large Language Model Pre-Training Ruizhe Wang Yucheng Ding Xiao Liu Yaoxiang Wang Peng Cheng Baining Guo Zhengjun Zha Yeyun Gong 128 0 0 09 Oct 2025
Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes Peter Ochieng 80 1 0 07 Oct 2025