1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CL2026
Measuring Maximum Activations in Open Large Language Models
Luxuan Chen, Han Tian, Xinran Chen +9
The dynamic range of activations is a first-order constraint for low-bit quantization, activation scaling, and stable LLM inference. Prior work characterized outlier features and m…
cs.CL2026
EndPrompt: Efficient Long-Context Extension via Terminal Anchoring
Han Tian, Luxuan Chen, Xinran Chen +10
Extending the context window of large language models typically requires training on sequences at the target length, incurring quadratic memory and computational costs that make lo…
cs.DC2024★ 1 cited
On the Performance and Memory Footprint of Distributed Training: An Empirical Study on Transformers
Zhengxian Lu, Fangyu Wang, Zhiwei Xu +2
Transformer models have emerged as potent solutions to a wide array of multidisciplinary challenges. The deployment of Transformer architectures is significantly hindered by their…