2 citations · 3 across the 7 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.DC2025
TokenSim: Enabling Hardware and Software Exploration for Large Language Model Inference Systems
Feiyang Wu, Zhuohang Bian, Guoyang Duan +6
The increasing demand for large language model (LLM) serving has necessitated significant advancements in the optimization and profiling of LLM inference systems. As these models b…
cs.LG2025★ 1 cited
Hierarchical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM
Yongqiang Yao, Jingru Tan, Kaihuan Liang +7
Training Long-Context Large Language Models (LLMs) is challenging, as hybrid training with long-context and short-context data often leads to workload imbalances. Existing works ma…