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AI & ML interests

AI Psychometrician ? | NLP (mainly for Arabic) | Interests include Reinforcement Learning and Cognitive sciences among others

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Tiny Agents: a MCP-powered agent in 50 lines of code
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🚀 New paper out: "Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function" https://huggingface.co./papers/2410.03979 In this work, we tackle some major challenges in Arabic multi-label emotion classification especially the issues of class imbalance and label correlation that often hurt model performance, particularly for minority emotions. Our approach: Stacked contextual embeddings from fine-tuned ArabicBERT, MarBERT, and AraBERT models. A meta-learning strategy that builds richer representations. A hybrid loss function combining class weighting, label correlation matrices, and contrastive learning to better handle class imbalances. 🧠 Model pipeline: stacked embeddings → meta-learner → Bi-LSTM → fully connected network → multi-label classification. 🔍 Extensive experiments show significant improvements across Precision, Recall, F1-Score, Jaccard Accuracy, and Hamming Loss. 🌟 The hybrid loss function in particular helped close the gap between majority and minority classes! We also performed ablation studies to break down each component’s contribution and the results consistently validated our design choices. This framework isn't just for Arabic it offers a generalizable path for improving multi-label emotion classification in other low-resource languages and domains. Big thanks to my co-authors: Muhammad Azeem Aslam, Wang Jun, Nisar Ahmed, Li Yanan, Hu Hongfei, Wang Shiyu, and Xin Liu! Would love to hear your thoughts on this work! 👇
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🚨 Arabic LLM Evaluation 🚨

Few models join the ranking of https://huggingface.co./spaces/inceptionai/AraGen-Leaderboard Today.

The new MistralAI model, Saba, is quite impressive, Top10 ! Well done @arthurmensch and team.

Sadly Mistral did not follow its strategy about public weights this time, we hope this changes soon and we get the model with a permissive license.

We added other Mistral models and apparently, we have been sleeping on mistralai/Mistral-Large-Instruct-2411 !

Another impressive model that joined the ranking today is ALLaM-AI/ALLaM-7B-Instruct-preview. After a long wait finally ALLaM is here and it is IMPRESSIVE given its size !

ALLaM is ranked on OALL/Open-Arabic-LLM-Leaderboard as well.
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Arabic Leaderboards: Introducing Arabic Instruction Following, Updating AraGen, and More

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