Learning to Attack and Defend: Adaptive Red Teaming of Language Models via GRPO.

arXiv:2606.09701v2 Announce Type: replace-cross Abstract: Language model safety must continually adapt to evolving attacks. Recent works have demonstrated that reinforcement learning can be used to train stronger attacker and defender models in tandem by apply