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cs.LG2026
Digital Twin-Driven Adaptive Sim-to-Real Alignment via Reinforcement Learning for Vibration-Based Bearing Health Monitoring Under Data Scarcity
Jinghan Wang, Yanjun Chen, Wei Zhang +3
Vibration-based health monitoring of rotating machinery requires reliable fault diagnosis under operational data constraints, yet condition assessment remains challenged by structu…
cs.LG2026
An LLM-based Two-Stage Transformer Framework for Cross-Domain Bearing Fault Diagnosis with Limited Data
Jinghan Wang, Feng Cheng, Wentao Wu +3
Bearing fault diagnosis faces critical challenges when dataset heterogeneity, operating condition variations, and limited labeled data occur simultaneously in industrial environmen…
cs.LG2026
Exact Is Easier: Credit Assignment for Cooperative LLM Agents
Yanjun Chen, Yirong Sun, Hanlin Wang +5
Removing an agent from a cooperative team to measure its contribution seems natural, yet in multi-agent LLM systems this evaluation distorts the result it claims to measure. This f…