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

SAFIRE is introduced, a large-scale benchmark for fire-smoke understanding in MLLMs, comprising 83K captioned images from 20 scenarios and 193K multiple-choice VQA (MCVQA) generated from a 9.7K-image subset, spanning 10 evaluation dimensions from basic perception to higher-order reasoning.

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