20 citations · 21 across the 9 of their papers we have counts for
9 papers
Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity
Yehui Tang, Xiaosong Li, Fangcheng Liu +19
The surgence of Mixture of Experts (MoE) in Large Language Models promises a small price of execution cost for a much larger model parameter count and learning capacity, because on…
Observation of an Altered Line-shape in due to the Triangle Loop Rescattering Effect
BESIII Collaboration, M. Ablikim, M. N. Achasov +697
Using 20.3~ of collision data taken with the BESIII detector at the center-of-mass energy 3.773~GeV, we report the first amplitude analysis of the hadro…
Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs
Yehui Tang, Yichun Yin, Yaoyuan Wang +71
Sparse large language models (LLMs) with Mixture of Experts (MoE) and close to a trillion parameters are dominating the realm of most capable language models. However, the massive…
Evidence of doubly OZI-suppressed decay in the radiative decay
BESIII Collaboration, M. Ablikim, M. N. Achasov +678
Using a sample of events collected with the BESIII detector at the BEPCII collider, the first evidence for the doubly OZI-suppressed decay $η_{c}…
Search for the rare decay at BESIII
BESIII Collaboration, M. Ablikim, M. N. Achasov +650
Using events collected with the BESIII detector, we search for the rare decay for the first time. No obvious signal is observed and t…
Observation of
BESIII Collaboration, M. Ablikim, M. N. Achasov +645
By analyzing events accumulated with the BESIII detector, the decay is observed for the first time with a sig…