Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimenez, Francois Fleuret | Summary: Fine-tuning pre-trained models has become the standard approach to endow them with specialized knowledge, but it poses fundamental challenges. In particular, textit{(i)} fine-tuning often leads to catastrophic forgetting, where improvements on a target domain degrade […]

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimenez, Francois Fleuret | Summary: Large pre-trained models exhibit impressive zero-shot performance across diverse tasks, but fine-tuning often leads to catastrophic forgetting, where improvements on a target domain degrade generalization on other tasks. To address this challenge, we introduce LiNeS, […]

Kavli Affiliate: Renxin Xu | First 5 Authors: Zhengli Wang, Shunshun Cao, Jiguang Lu, Yulan Liu, Xun Shi | Summary: We report the detection of an extreme flux decrease accompanied by clear dispersion measure (DM) and rotation measure (RM) variations for pulsar B1929+10 during the 110-minute radio observation with the Five-hundred-meter Aperture Spherical radio Telescope […]

Kavli Affiliate: Feng Yuan | First 5 Authors: Xiaohui Liu, Werner Vogelsang, Feng Yuan, Hua Xing Zhu, | Summary: We investigate the energy-energy correlator (EEC) of hadrons produced on the same side in $e^+e^-$ annihilation or in leading jets in $pp$ collisions. We observe a remarkable universality of the correlator. Using a non-perturbative transverse momentum […]