Papers by Zian Wang

2 papers
Watermark under Fire: A Robustness Evaluation of LLM Watermarking (2025.findings-emnlp)

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Challenge: Various watermarking methods have been proposed to identify LLM-generated texts . lack of unified evaluation platforms has left many critical questions unanswered .
Approach: They systematize existing LLM watermarkers and watermark removal attacks and develop a unified platform that integrates them.
Outcome: The proposed systematizes existing LLM watermarkers and watermark removal attacks, mapping out their design spaces.
Sanitizing Large Language Models in Bug Detection with Data-Flow (2024.findings-emnlp)

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Challenge: Large language models (LLMs) have potential in code reasoning tasks but the hallucination effect can compromise the reliability of bug reports.
Approach: They propose a new schema of bug detection that enforces LLMs to emit data-flow paths in few-shot chain-of-thought prompting and validates them via the program-property decomposition.
Outcome: The proposed approach achieves 91.03% precision and 74.00% recall upon synthetic benchmarks and boosts precision by 21.99% with the sanitization.

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