解读洛伦兹等变喷注标记器内部机制，助你理解AI如何解析粒子物理数据，ICML权威论文
arXiv:2606.21790v1 Announce Type: new Abstract: We study what Lorentz-equivariant jet taggers learn internally, using equivariance tests, linear probe…
用GPT做物理探测器模拟？论文提出条件自回归生成方法，加速CLAS12探测器响应仿真，AI与高能物理的跨界创新。
arXiv:2606.16035v1 Announce Type: cross Abstract: Modern particles physics experiments have demonstrated an increasing need for fast, high-fidelity de…
用机器学习搜索SU(5)风味模型，物理与AI交叉的前沿探索
arXiv:2511.08154v2 Announce Type: replace-cross Abstract: We revisit the fermion mass problem of the $SU(5)$ grand unified theory using machine learni…
用机器学习加速FARICH探测器响应模拟，为高能物理研究提供高效新方案。
arXiv:2605.17635v1 Announce Type: cross Abstract: A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional…