Su, Jingtong

1. A Single Character can Make or Break Your LLM Evals
   2025/10/02 by Jingtong Su, Su, Jingtong, Jianyu Zhang +7 · 3 voices · 3 citations
   Social Sciences · #Artificial Intelligence in Law #cs.AI #cs.CL
2. Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
   2024/08/02 by Jingtong Su, Su, Jingtong, Julia Kempe +3 · 6 citations
   Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Law, AI, and Intellectual Property #Law, Economics, and Judicial Systems #Machine Learning (cs.LG)
3. Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
   2020/09/22 by Su, Jingtong, Chen, Yihang, Cai, Tianle +4 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Can we achieve robustness from data alone?
   2022/07/24 by Tsilivis, Nikolaos, Su, Jingtong, Kempe, Julia · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. On the Robustness of Neural Collapse and the Neural Collapse of Robustness
   2023/11/13 by Jingtong Su, Ya Shi Zhang, Su, Jingtong +5 · 1 citation
   Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Machine Learning in Materials Science #Neural Networks and Applications
6. From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers
   2025/06/20 by Su, Jingtong, Kempe, Julia, Ullrich, Karen · 2 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)