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Jia-Hao Zhang

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Conference Aug 2026

Program Characteristic Card-Guided Seed Generation for Large Language Model-Assisted Fuzzing

Large language models (LLMs) can generate syntactically valid fuzzing seeds, but existing methods mainly focus on model adaptation and prompt design rather than static characteristics of target programs. This paper presents PCCFuzz, which uses source-visible program information to guide LLM-based initial seed generatio...

Jia-Hao Zhang · 0 citations
#artificial intelligence Preprint Oct 2026

How Do Agentic LLMs Decide to Call Tools? A Tool-Call Vector Shaped by Suppression

Tool calling, invoking external tools on demand, is central to agentic LLMs, yet the mechanism that decides whether a model calls a tool or responds directly remains poorly understood. Agentic prompts are long and heavily scaffolded, combining role instructions, tool schemas, format templates, and the user's request ac...

X. Gong, Ting-Xu Han, Jia-Hao Zhang et al. · 0 citations

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