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Xi-Ting Liu

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#artificial intelligence Preprint Oct 2026

SWE-DeceptionBench: Benchmarking Deceptive Behaviors of LLMs Across the Software Development Lifecycle

Large Language Models (LLMs) are increasingly used throughout the software development lifecycle. This growing reliance on LLMs raises concerns about their trustworthiness, with deception posing a particularly important risk. Deceptive behavior takes the form of misleading responses or assistance in fabricating, concea...

Xi-Ting Liu, Lin Yang, Yi-Tong Zhang et al. · 0 citations
Open access Oct 2026

PackMonitor: Towards Zero Package Hallucinations via Decoding-Time Monitoring

As Large Language Models (LLMs) are increasingly integrated into software development workflows, their trustworthiness has become a critical concern. However, in dependency recommendation scenarios, the reliability of LLMs is undermined by widespread package hallucinations, where models often recommend hallucinated pac...

Xi-Ting Liu, Yue-Tong Liu, Yi-Tong Zhang et al. · 0 citations

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