2 papers
cs.CL2025
LoKI: Low-damage Knowledge Implanting of Large Language Models
Runyu Wang, Peng Ping, Zhengyu Guo +4
Fine-tuning adapts pretrained models for specific tasks but poses the risk of catastrophic forgetting (CF), where critical knowledge from pretraining is overwritten. To address the…
cs.CL2024
Large Language Models as Code Executors: An Exploratory Study
Chenyang Lyu, Lecheng Yan, Rui Xing +4
The capabilities of Large Language Models (LLMs) have significantly evolved, extending from natural language processing to complex tasks like code understanding and generation. We…