Papers by Huang Nianchen
Understanding Secret Leakage Risks in Code LLMs: A Tokenization Perspective (2026.findings-acl)
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| Challenge: | Code Large Language Models (CLLMs) are reshaping how software is built, maintained, and evolved. |
| Approach: | They propose to use BPE tokenization to inadvertently leak code secrets . they propose to mitigate the gibberish bias by using a newer tokenizer . |
| Outcome: | The proposed model is based on a novel method that can be used to detect and mitigate gibberish bias in CLLMs. |