2 papers
cs.CL2025
AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement
Zhexin Zhang, Leqi Lei, Junxiao Yang +13
As AI models are increasingly deployed across diverse real-world scenarios, ensuring their safety remains a critical yet underexplored challenge. While substantial efforts have bee…
cs.IR2025
Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
Yanhao Jia, Xinyi Wu, Hao Li +4
In AI-facilitated teaching, leveraging various query styles to interpret abstract text descriptions is crucial for ensuring high-quality teaching. However, current retrieval models…