2 papers
cs.AI2026
MENTOR: A Metacognition-Driven Self-Evolution Framework for Uncovering and Mitigating Implicit Domain Risks in LLMs
Liang Shan, Kaicheng Shen, Wen Wu +9
Ensuring the safety of Large Language Models (LLMs) is critical for real-world deployment. However, current safety measures often fail to address implicit, domain-specific risks. T…
astro-ph.IM2025
An Optimization Framework for Wide-Field Small Aperture Telescope Arrays Used in Sky Surveys
Wennan Xiang, Peng Jia, Zhengyang Li +3
For time-domain astronomy, it is crucial to frequently image celestial objects at specific depths within a predetermined cadence. To fulfill these scientific demands, scientists gl…