3 papers
cs.AI2025
Learned-Rule-Augmented Large Language Model Evaluators
Jie Meng, Jin Mao
Large language models (LLMs) are predominantly used as evaluators for natural language generation (NLG) tasks, but their application to broader evaluation scenarios remains limited…
nucl-th2025
Intrinsic spin distributions in multinucleon transfer reactions
Dan Dan Zhang, Dario Vretenar, Tamara NikÅ¡iÄ +2
Time-dependent covariant density functional theory (TD-CDFT) combined with angular momentum projection is developed and applied to study multinucleon transfer (MNT) reactions, with…
cs.DC2025
DeepServe: Serverless Large Language Model Serving at Scale
Junhao Hu, Jiang Xu, Zhixia Liu +18
In this paper, we propose DEEPSERVE, a scalable and serverless AI platform designed to efficiently serve large language models (LLMs) at scale in cloud environments. DEEPSERVE addr…