Author

Sicheng Zhang

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#artificial intelligence Preprint Oct 2026

KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards

LLMs are increasingly applied to cybersecurity workflows, where they are expected to translate analysts'intent into tool invocations. However, existing evaluations focus on knowledge-based assessments or end-to-end agentic tasks, and do not directly measure LLMs'ability to generate executable commands for real-world cy...

Peng-Fei Li, Naufal Suryanto, Si-Cheng Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

SAFIRE: Safety-Critical Benchmark for Fine-grained Fire and Smoke Understanding in Multimodal LLMs

Multimodal Large Language Models (MLLMs) show strong progress on vision-language tasks, yet their reliability in safety-critical settings remains underexplored. Fire-smoke understanding is central to public safety and disaster response, but most existing benchmarks lack diverse real-world scenarios and context-aware ev...

Peng-Fei Li, Naufal Suryanto, Si-Cheng Zhang et al. · 0 citations

Preprint Aug 2026

On the Limitations of Cross-Lingual Consistency in Multilingual Text-to-image Generation

Text-to-image (T2I) generation has achieved remarkable progress in recent years. However, existing research has largely focused on English-only settings, leaving cross-lingual performance gaps and language-specific effects insufficiently explored. To fill this gap, we introduce LingT2I, a benchmark covering 10 widely u...

Si-Cheng Zhang, Zhong-Hao Yan, Bin-Zhu Xie et al. · 0 citations