chemical processes 1large language models 1physics-informed learning 1pid tuning 1reinforcement learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
eess.SY2026
A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model Agents
Zhoupeng Shou, Xiaodong Hong, Congjing Ren +3
The paper presents a framework that uses large and small language model agents, enhanced with physics-informed fine‑tuning and reinforcement learning, to automate PID controller tu…
cs.CL2026
Decoupling Strategy and Execution in Task-Focused Dialogue via Goal-Oriented Preference Optimization
Jingyi Xu, Xingyu Ren, Zhoupeng Shou +2
Large language models show potential in task-oriented dialogue systems, yet existing training methods often rely on token-level likelihood or preference optimization, which poorly…
cs.AI2025
CogGuide: Human-Like Guidance for Zero-Shot Omni-Modal Reasoning
Zhou-Peng Shou, Zhi-Qiang You, Fang Wang +1
Targeting the issues of "shortcuts" and insufficient contextual understanding in complex cross-modal reasoning of multimodal large models, this paper proposes a zero-shot multimoda…