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受影响的系统在全球分布不均,某些地区存在令人担忧的集中情况。CriminalIP研究人员指出,美国拥有最多易受攻击实例(1887个),其次是法国(1324个)和德国(929个),这三个国家合计占全球暴露总量的50%以上。
论文第一作者何浩然是香港科技大学博士生,研究方向包括强化学习和基础模型等,研究目标是通过经验和奖励激发超级智能。共同第一作者叶语霄是香港科技大学一年级博士。通讯作者为香港科技大学电子及计算机工程系、计算机科学与工程系助理教授潘玲。 在大语言模型(LLM)的数学推理任务中,基于可验证奖励的强化学习(RLVR)已成为提升模型推理能力的重要手段。然而,主流方法如 PPO、GRPO 等仍然依赖为传统 RL ...