Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework
Published in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
A comprehensive analysis and defense framework for bit-flip error resilience in large language models.
Recommended citation: Yuhang Chen, Zhen Tan, Ajay Kumar Jaiswal, Huaizhi Qu, Xinyu Zhao, Qi Lin, Yu Cheng, Andrew Kwong, Zhichao Cao, Tianlong Chen. "Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework." Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.