大模型成绩提升的根源，不止是能力进化，更藏着基准测试的“可达性”陷阱，值得一读。
arXiv:2608.03219v1 Announce Type: cross Abstract: Benchmark gains are often treated as evidence of greater LLM capability. Yet the same gain can refle…
提出一种跨形态可达性方法，让不同结构机器人共享运动知识，推动通用机器人技能迁移。
arXiv:2606.09108v1 Announce Type: cross Abstract: Many stages of the robotic lifecycle, from morphology synthesis to operation, rely fundamentally on …
新指标WCS精准测量LLM词汇可达性，揭示采样策略如何限制输出词汇多样性，为模型评估提供新视角。
arXiv:2605.27268v1 Announce Type: cross Abstract: Modern Large Language Models (LLMs) are often criticized for producing repetitive and homogeneous te…