Papers by Huaizhi Qu
Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework (2025.emnlp-main)
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Yuhang Chen, Zhen Tan, Ajay Kumar Jaiswal, Huaizhi Qu, Xinyu Zhao, Qi Lin, Yu Cheng, Andrew Kwong, Zhichao Cao, Tianlong Chen
| Challenge: | Bit-flip errors (BFEs) are hardware faults where individual bits in memory or processing units are unintentionally flipped. |
| Approach: | They propose a novel defense strategy to mitigate bit-flip errors (BFEs) they propose bfe protection and a self-correction mechanism to minimize performance degradation . |
| Outcome: | The proposed defense strategy minimizes performance degradation while significantly improving robustness against BFEs. |
UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging (2025.findings-acl)
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| Challenge: | Existing models merging methods often lead to suboptimal performance due to harmful models . et al., 2018; 59: 59-64. |
| Approach: | They propose an uncertainty-guided MLLM merging algorithm that integrates models into a single MLML. |
| Outcome: | The proposed algorithm improves on held-in and held-out vision-language benchmarks. |