2 papers
cs.LG2025
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment
Yixin Song, Zhenliang Xue, Dongliang Wei +11
While frontier large language models (LLMs) continue to push capability boundaries, their deployment remains confined to GPU-powered cloud infrastructure. We challenge this paradig…
cs.CL2025
TeleEval-OS: Performance evaluations of large language models for operations scheduling
Yanyan Wang, Yingying Wang, Junli Liang +10
The rapid advancement of large language models (LLMs) has significantly propelled progress in artificial intelligence, demonstrating substantial application potential across multip…