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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Nishat Raihan

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Preprint Oct 2026

BanglaShield: A Script-Robust Safety Classifier and Benchmark for Bangla Native, Romanized, and Code-Mixed Prompts

Safety classifiers for large language models (LLMs) are typically built and evaluated on standard-script text, yet Bangla, like many lower-resource languages, is routinely written in native script, in Latin-script romanization, and code-mixed with English, Hindi, or Urdu. We introduce BanglaShield, a resource and model...

Mohsinul Kabir, M. Tariquzzaman, M. Rifat et al. · 0 citations
Open access Aug 2026

Multi-SALLM: a multilingual security assessment of generated code

Multi-SALLM, a benchmarking framework designed to systematically evaluate Large Language Models’ ability to generate secure code, reveals three key findings: functional correctness and security are closely related but not equivalent, and sampling strategy is a critical risk factor.

Mohammed Latif Siddiq, Noshin Ulfat, Nishat Raihan et al. · 0 citations

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