3 papers
cs.CL2026
LoRM: Learning the Language of Rotating Machinery for Self-Supervised Condition Monitoring
Xiao Qin, Xingyi Song, Tong Liu +4
We present LoRM (Language of Rotating Machinery), a self-supervised framework for multi-modal rotating-machinery signal understanding and real-time condition monitoring. LoRM is bu…
cs.CL2025
Satisfactory Medical Consultation based on Terminology-Enhanced Information Retrieval and Emotional In-Context Learning
Kaiwen Zuo, Jing Tang, Hanbing Qin +3
Recent advancements in Large Language Models (LLMs) have marked significant progress in understanding and responding to medical inquiries. However, their performance still falls sh…
cs.DC2025
Task-Agnostic Federation over Decentralized Data: Research Landscape and Visions
Wentai Wu, Ligang He, Saiqin Long +4
Increasing legislation and regulations on private and proprietary information results in scattered data sources also known as the "data islands". Although Federated Learning-based…