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Oussema Harbi

Harbous

oharbi

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liked a model 8 days ago

XiaomiMiMo/MiMo-7B-RL

reacted to ImranzamanML's post with 👍 12 days ago

🚀 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! 👇

replied to orasul's post 14 days ago

hi, it is deki, and now I am open sourced. An Android AI agent powered by open-source ML model, 𝗱𝗲𝗸𝗶, was fully open-sourced. It understands what’s on your screen and can perform tasks based on your voice or text commands. Some examples: * "Write my friend "some_name" in WhatsApp that I'll be 15 minutes late" * "Open Twitter in the browser and write a post about something" * "Read my latest notifications" * "Write a linkedin post about something" Currently, it works only on Android — but support for other OS is planned. The ML and backend codes were also fully open-sourced. Video prompt example: "Open linkedin, tap post and write: hi, it is deki, and now I am open sourced. But don't send, just return" License: GPLv3 You can find other AI agent demos or usage examples, like, code generation or object detection in github. Github: https://github.com/RasulOs/deki

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Harbous's activity

liked a model 8 days ago

XiaomiMiMo/MiMo-7B-RL

Text Generation • Updated 3 days ago • 5.34k • 238

liked a model 4 months ago

openbmb/MiniCPM-o-2_6

Any-to-Any • Updated Mar 28 • 298k • 1.12k

liked a Space 4 months ago

Open Universal Arabic Asr Leaderboard

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A benchmark for open-source multi-dialect Arabic ASR models

liked a model 4 months ago

PowerInfer/SmallThinker-3B-Preview

Text Generation • Updated Jan 16 • 6.79k • 395

liked a dataset 5 months ago

MohamedRashad/Quran-Tafseer

Viewer • Updated Sep 13, 2024 • 219k • 68 • 41

liked a model 5 months ago

MohamedRashad/arabic-large-nougat

Image-to-Text • Updated Nov 28, 2024 • 1.21k • 11

liked 4 models 7 months ago