3 papers
cs.LG2026
Automated Attention Pattern Discovery at Scale in Large Language Models
Jonathan Katzy, Razvan-Mihai Popescu, Erik Mekkes +2
Large language models have found success by scaling up capabilities to work in general settings. The same can unfortunately not be said for interpretability methods. The current tr…
cs.AI2026
AST-PAC: AST-guided Membership Inference for Code
Roham Koohestani, Ali Al-Kaswan, Jonathan Katzy +1
Code Large Language Models are frequently trained on massive datasets containing restrictively licensed source code. This creates urgent data governance and copyright challenges. M…
cs.SE2025
A Qualitative Investigation into LLM-Generated Multilingual Code Comments and Automatic Evaluation Metrics
Jonathan Katzy, Yongcheng Huang, Gopal-Raj Panchu +5
Large Language Models are essential coding assistants, yet their training is predominantly English-centric. In this study, we evaluate the performance of code language models in no…