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cs.CL2026
CoFiBreak: A Coarse-to-Fine Diversity Reward for Effective Multi-Turn Jailbreak
Jialin Song, Xiaodong Liu, Weiwei Yang +7
Automated red teaming trains an attacker large language model (LLM) to elicit harmful responses from a victim LLM, but reinforcement learning can collapse attackers onto a narrow s…
cs.CL2026
ShallowDefend: Harnessing Shallow Safety Alignment for Multi-Turn Defender
Qiyao Ma, Xiaodong Liu, Weiwei Yang +9
Safety alignment has enabled large language models to reliably refuse harmful requests directly, yet the same request distributed across a multi-turn conversation still succeeds fa…