Author

A. Hasnat

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#artificial intelligence Preprint Sep 2026

ArGuard Shared Task: Harmful Content Detection in Arabic Memes and LLM Prompts

Fine-grained meme classification in A2 was the most challenging setting, partly due to sparse labels and train-test distribution shifts, partly due to sparse labels and train-test distribution shifts.

Firoj Alam, Masudul Biswas, Mohamed Bayan Kmainasi et al. · 0 citations

#artificial intelligence Jan 2026

MemeLens: Multilingual Multitask VLMs for Memes

It is suggested that robust meme understanding requires multimodal training, varies substantially across semantic categories, and remains sensitive to over-specialization when models are fine-tuned on individual datasets rather than trained in a unified setting.

Ali Ezzat Shahroor, Mohamed Bayan Kmainasi, A. Hasnat et al. · arXiv.org · 5 citations