Papers by Lingyong Fang
Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining (2025.coling-main)
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| Challenge: | Existing backdoor defense methods are ineffective for generative large language models . generative LLMs output sequences of high-dimensional token logits instead of low-dimensional classification logits . |
| Approach: | They propose a method that leverages sample-wise gradients to identify backdoor samples without retraining LLMs. |
| Outcome: | The proposed method outperforms baselines significantly in identifying backdoor samples without retraining LLMs. |