This work introduces \textsc{JailbreakSkill}, a skill-centric framework for scaling automated red-teaming through reusable and continuously evolving attack capabilities, which packages existing attack strategies into modular, agent-ready skills that can be directly reused and adaptively selected across tasks and target models.
Xiaoyu Wen, Jiajia Li, Zhida He et al.· 2 citations
STAR—Staged Training with Aligned Reinforcement Learning and Multi-Faceted Distillation is proposed, a progressive framework that follows a reasoning, ranking, and transfer pipeline to imbue dense models with both high performance and interpretability.
Chenxu Wang, Jianzhi Shao, Chi Zhang et al.· Annual International ACM SIG...· 0 citations
The proposed TRACE (Term-level Reasoning And Chain-of-thought Enhanced distillation), a framework designed for deploying advanced reasoning capabilities at scale, enhances an LLM's multi-modal reasoning by employing Group Relative Policy Optimization (GRPO) guided by a term-level Chain-of-Thought (CoT) reward function, enabling it to generate detailed, step-by-step relevance judgments.
Chenxu Wang, Chi Zhang, Fang liang et al.· Annual International ACM SIG...· 0 citations
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