Jie Pan
2 indexed papers
Recent (6 mo)
2With code
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226
Top categories
Crypto×2AI×2NLP×2
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Research Timeline
2026
DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning
DataShield proposes an efficient method to identify safety-degrading samples within benign datasets, quantifying each sample's contribution to an LLM's compliance behavior.
DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning
DataShield proposes an efficient method to identify safety-degrading samples within benign datasets, preventing the degradation of LLM safety capabilities during fine-tuning.
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Papers
cs.CRcs.AIcs.CLRecentMay 29, 2026
DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning
Junbo Zhang, Qianli Zhou, Xinyang Deng, Wen Jiang +2 more
DataShield proposes an efficient method to identify safety-degrading samples within benign datasets, quantifying each sample's contribution to an LLM's compliance behavior.
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cs.CRcs.AIcs.CLRecentMay 29, 2026