智能体驱动的自动驾驶长尾仿真框架，破解罕见场景数据稀缺难题，值得关注。
arXiv:2607.04331v1 Announce Type: cross Abstract: Evaluating autonomous driving systems in closed-loop settings requires realistic and interactive sim…
自动驾驶长尾场景安全评估新突破，揭示闭环指标饱和缺陷
arXiv:2606.16313v1 Announce Type: cross Abstract: Long-tail scenarios remain a major bottleneck for autonomous driving evaluation, even as datasets gr…
自主研发自动构建细粒度评估规则，专攻大模型在教育长尾难题中的精准评测。
arXiv:2606.06546v1 Announce Type: new Abstract: Evaluating large language models (LLMs) for education requires measuring how models teach, not only wh…