3 papers
cs.AI2026
LLMs learn scientific taste from institutional traces across the social sciences
Ziqin Gong, Ning Li, Huaikang Zhou
Reinforcement-learned reasoning has powered recent AI leaps on verifiable tasks, including mathematics, code, and structure prediction. The harder bottleneck is evaluative judgment…
cs.AI2026
AgentCPM-Explore: Realizing Long-Horizon Deep Exploration for Edge-Scale Agents
Haotian Chen, Xin Cong, Shengda Fan +16
While Large Language Model (LLM)-based agents have shown remarkable potential for solving complex tasks, existing systems remain heavily reliant on large-scale models, leaving the…
cs.DC2024
Harpagon: Minimizing DNN Serving Cost via Efficient Dispatching, Scheduling and Splitting
Zhixin Zhao, Yitao Hu, Ziqi Gong +5
Advances in deep neural networks (DNNs) have significantly contributed to the development of real-time video processing applications. Efficient scheduling of DNN workloads in cloud…