Papers by Ruibang Liu

1 papers
DCE-LLM: Dead Code Elimination with Large Language Models (2025.naacl-long)

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Challenge: Dead code can obscure logical errors and be exploited for obfuscation in malware.
Approach: They propose a framework for automated dead code elimination using a codeBERT model with an attribution-based line selector.
Outcome: Experimental results show that DCE-LLM outperforms existing tools for dead code elimination . dead code can obscure logical errors and be exploited for obfuscation in malware .

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