3 papers
cs.AI2026
ReFract: Benchmarking Perspective Awareness in Language Model Agents with Text World Models
Hainiu Xu, Vítor N. Lourenço, Mohnish Dubey +7
Large Language Model (LLM) agents are increasingly deployed in high-stakes settings such as industrial maintenance and equipment fault troubleshooting, where workers occupy a varie…
cs.LG2026
SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
Zelin He, Boran Han, Xiyuan Zhang +10
Time-series diagnostic reasoning is essential for many applications, yet existing solutions face a persistent gap: general reasoning large language models (GRLMs) possess strong re…
cs.LG2025
MAD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
Sarah Alnegheimish, Zelin He, Matthew Reimherr +3
With the widespread availability of sensor data across industrial and operational systems, we frequently encounter heterogeneous time series from multiple systems. Anomaly detectio…