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Zhimeng Guo

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#artificial intelligence Preprint Oct 2026

EvalBuilder: Can LLMs Build Efficient Benchmarks?

Large language model (LLM) agents are increasingly used for long-horizon research and engineering, yet evaluating these capabilities remains expensive, time-consuming, and heavily dependent on human expertise. This motivates a natural question: can LLM agents themselves construct efficient benchmarks that preserve the...

Huai-Sheng Zhu, Hang-Fan Zhang, Teng Xiao et al. · 0 citations
2025

Practical and Effective Code Watermarking for Large Language Models

ACW (AST-guided Code Watermarking), a novel adaptive framework that leverages Abstract Syntax Tree (AST) analysis during training to learn watermark embedding strategies, and proposes a novel sampling scheme that distributes tokens between green/red lists according to semantic context, ensuring statistical distinguisha...

Zhimeng Guo, Minhao Cheng, L. D · 0 citations

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