Firoj Alam
@firojalam04
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Senior Scientist at QCRI. #NLProc, LLM, Multimodality, 'fake news, mis/disinformation' Senior Member, IEEE. Past: @UniTrento, @FBK_research, @BRACUniversity
Doha, Qatar
Joined June 2009
🌟 A Journey from Curiosity to Community Impact: Evaluating LLMs with Everyday and Native Knowledge 🌟. Back at the end of 2023, when we started to work on building Arabic LLM, #fanar, one question kept coming up:. "How do we meaningfully evaluate LLMs on the kinds of knowledge
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RT @kareem2darwish: BALSAM fosters transparency & cooperation, driving the creation of domain-specific datasets & robust benchmarks for Ara….
arxiv.org
The impressive advancement of Large Language Models (LLMs) in English has not been matched across all languages. In particular, LLM performance in Arabic lags behind, due to data scarcity,...
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RT @kareem2darwish: BALSAM's strength lies in its incredible community contributions by leading academic & governmental institutions -- vit….
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RT @kareem2darwish: Thrilled to announce BALSAM, a monumental collaborative effort to establish standardized benchmarking for Arabic LLMs!….
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It was really a wonderful talk!.
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Presenting at, #ACL2025 #ACL2025NLP , if you’re around and want to learn more about our work, please stop by…
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RT @aclmeeting: 🚨 It’s happening! The Welcome Address is LIVE at #ACL2025NLP 🇦🇹.🎙️ Local welcome + key program stats. 📈 Selection insights….
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📣 Presenting at ACL 2025, Vienna!.🗓️ Monday, July 28 | 🕕 18:00–19:30 | 📍 Hall 4/5. If you're attending ACL 2025, come visit our poster session and learn more about our latest work on culturally-grounded and low-resource LLMs:. 🔹 NativQA: Multilingual Culturally-Aligned.
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RT @tahmedge: The Call for Papers for the second edition of the Bangla Language Processing (BLP) Workshop is out (.….
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RT @iwsdsmeeting: 🎉.We’re excited to announce IWSDS 2026 will take place Feb 26 – Mar 1, 2026 in Trento🇮🇹! 🏔️✨.📢 Call for Papers is now ope….
sites.google.com
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RT @wzaghouani: 🌍✨ MAHED 2025 Shared Task: Pioneering Hope & Hate Detection in Arabic NLP. Amid global conflicts, innovation offers hope. J….
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RT @sama: we planned to launch our open-weight model next week. we are delaying it; we need time to run additional safety tests and review….
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🌍 Are you working on culturally and regionally aligned Question-Answering (QA) datasets in native languages?. Take a look at the NativQA Framework — an open-source solution designed to make your workflow seamless. ✅ Easy to set up and run.✅ Supports native and low-resource
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20 more days to close the registration. However you should start early if you want to participate and submit the system description paper.
MAHED 2025 Multimodal Detection of Hope and Hate Emotions in Arabic Content. More: Data/Code: Registration:.Task 1: Task 2: Task 3: Consider participating.
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If you're participating in ArabicNLP 2025 shared tasks or experimenting with large language models (LLMs), we’d like to share a valuable resource that can streamline your workflow and enhance your results:. 📷 LLMeBench + Fanar API.A free and easy-to-use integration that
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RT @firojalam04: MAHED 2025 Multimodal Detection of Hope and Hate Emotions in Arabic Content. More: Data/Code: htt….
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🌐 Introducing NativQA Framework: A powerful tool for building culturally & regionally aligned QA datasets in any language!. NativQA empowers researchers to create native, local, and everyday knowledge resources—addressing fairness & bias in LLMs. Already used to generate 300K+
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MAHED 2025 Multimodal Detection of Hope and Hate Emotions in Arabic Content. More: Data/Code: Registration:.Task 1: Task 2: Task 3: Consider participating.
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🎯 Participating in a shared task?.Benchmarking LLMs or testing prompts?. Try LLMeBench + Fanar API.✅ Free.✅ Easy to integrate.✅ Great for multilingual benchmarks!. 🔗 🔗 #LLMs #AI #SharedTask #NLP #PromptEngineering
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RT @firojalam04: 🚨 Calling all #AI & #NLProc enthusiasts! 🚨. Join the MAHED 2025 Shared Task at #ArabicNLP2025 (co-located with #EMNLP2025,….
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🚨 Calling all #AI & #NLProc enthusiasts! 🚨. Join the MAHED 2025 Shared Task at #ArabicNLP2025 (co-located with #EMNLP2025, Suzhou, China, Nov 5-9)!. Test your models on real Arabic data in 3 exciting tracks:.1️⃣ Hate & Hope Speech (text).2️⃣ Emotion, Offensive & Hate Detection.
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