1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2025★ 1 cited
Mid-Training of Large Language Models: A Survey
Kaixiang Mo, Yuxin Shi, Weiwei Weng +4
Large language models (LLMs) are typically developed through large-scale pre-training followed by task-specific fine-tuning. Recent advances highlight the importance of an intermed…
eess.SY2025
Modeling the residual queue and queue-dependent capacity in a static traffic assignment problem
Hao Fu, William H. K. Lam, Wei Ma +4
The residual queue during a given study period (e.g., peak hour) is an important feature that should be considered when solving a traffic assignment problem under equilibrium for s…