4 papers
Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems
Zuojun Max Shen, Yuan Qu, Pujun Zhang +2
As artificial intelligence (AI) continues to evolve and mature, recent AI practices have moved beyond large language models (LLMs) and text or image generation tasks, increasingly…
Machine Learning for Scheduling Decision Systems: A Critical Review of Architecture, Assurance, and Deployment
Anbang Liu, Shaochong Lin, Jingchuan Chen +2
Machine learning supports scheduling through prediction, search guidance, or schedule formation, but model-level evaluations obscure the downstream work, technical authority, and c…
Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm
Yunhao Liang, Pujun Zhang, Yuan Qu +3
The pretrain-transfer paradigm, which underpins the success of large language models (LLMs), has demonstrated the immense power of creating foundation models that learn generalizab…
Everyone Contributes! Incentivizing Strategic Cooperation in Multi-LLM Systems via Sequential Public Goods Games
Yunhao Liang, Yuan Qu, Jingyuan Yang +2
Coordinating multiple large language models (LLMs) to solve complex tasks collaboratively poses a fundamental trade-off between the computation costs and collective performance com…