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cs.LG2026
FlexGuard: Continuous Risk Scoring for Strictness-Adaptive LLM Content Moderation
Zhihao Ding, Jinming Li, Ze Lu +1
Ensuring the safety of LLM-generated content is essential for real-world deployment. Most existing guardrail models formulate moderation as a fixed binary classification task, impl…
cs.DB2026
Efficient and Effective Table-Centric Table Union Search in Data Lakes
Yongkang Sun, Zhihao Ding, Huiqiang Wang +2
In data lakes, information on the same subject is often fragmented across multiple tables. Table union search aims to find the top-k tables that can be unioned with a query table t…
cs.CR2026
Enhancing Model Defense Against Jailbreaks with Proactive Safety Reasoning
Xianglin Yang, Gelei Deng, Jieming Shi +2
Large language models (LLMs) are vital for a wide range of applications yet remain susceptible to jailbreak threats, which could lead to the generation of inappropriate responses.…