4 citations · 5 across the 6 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CV2024
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
Haotian Sun, Tao Lei, Bowen Zhang +5
Diffusion transformers have been widely adopted for text-to-image synthesis. While scaling these models up to billions of parameters shows promise, the effectiveness of scaling bey…
cs.AI2024★ 4 cited
Apple Intelligence Foundation Language Models
Tom Gunter, Zirui Wang, Chong Wang +152
We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large serv…
cs.LG2024★ 1 cited
Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training
Xianzhi Du, Tom Gunter, Xiang Kong +5
Mixture-of-Experts (MoE) enjoys performance gain by increasing model capacity while keeping computation cost constant. When comparing MoE to dense models, prior work typically adop…