间歇性、异步专家反馈对贝叶斯优化有多大用处？
TLDR
间歇性异步专家反馈能改善自动驾驶实验室中的贝叶斯优化，在玩具和化学数据集上验证。
评分理由
The paper addresses a practical limitation of self-driving labs by proposing non-blocking expert feedback integration into BO, with clear methodology and experiments. However, it is narrowly focused on BO and lacks real-world lab validation, limiting its generalizability to broader automated discovery.
Read-first 评分解释
综合优先阅读分 34.8，由主题、引用、图谱、方法、可复现性和近期性等信号加权得到。 原始总分保留为 26。
研究版图角色
候选论文
排序敏感性
稳定性：volatile；排名波动范围：103。