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title: "Firoj Alam — papers, page 2 · Hamad bin Khalifa University"
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# Firoj Alam · page 2

32 papers in our library · 2021–2026 · page 2 of 2

[The profile, affiliations and co-authors →](https://md.research.elamur.ai/free/en/authors/firoj-alam/)

## Papers

The most cited first (OpenAlex and our library).

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26. **[CultranAI at PalmX 2025: Data Augmentation for Cultural Knowledge Representation](https://md.research.elamur.ai/free/en/papers/bhatti-2025-cultranai-palmx-2025-data-augmentation/)** *(2025 · 1 citation)* The paper describes CultranAI, a submission to the PalmX 2025 shared task (General Culture Evaluation subtask).
27. **[MarsadLab at AraGenEval Shared Task: LLM-Based Approaches to Arabic Authorship Style Transfer and Identification](https://md.research.elamur.ai/free/en/papers/biswas-2025-marsadlab-arageneval-shared-task-llm/)** *(2025 · 1 citation)* The paper describes the MarsadLab entry to the AraGenEval shared task at ArabicNLP 2025. The task has two parts: rewriting a Modern Standard Arabic passage so it reads like a particular author while keeping its meaning, and recognising which of 21 authors wrote a given excerpt. The authors note that Arabic work in…
28. **[MarsadLab at PalmX Shared Task: An LLM Benchmark for Arabic Culture and Islamic Civilization](https://md.research.elamur.ai/free/en/papers/biswas-2025-marsadlab-palmx-shared-task-llm/)** *(2025 · 1 citation)* The paper describes a MarsadLab entry to PalmX 2025, a shared task that tests how well LLMs handle Arabic cultural and Islamic knowledge through four-option multiple-choice questions in Modern Standard Arabic.
29. **[ArGuard Shared Task: Harmful Content Detection in Arabic Memes and LLM Prompts](https://md.research.elamur.ai/free/en/papers/alam-2026-arguard-shared-task-harmful-content/)** *(2026)* ArGuard is a 2026 shared task on detecting harmful Arabic content in two settings that earlier work treated separately: multimodal memes and prompts sent to LLMs.
30. **[Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification](https://md.research.elamur.ai/free/en/papers/papadopulos-2026-beyond-logical-forms-llm-extracted/)** *(2026)* Automatic fallacy classification is hard because fallacies, especially informal ones, take many surface forms.
31. **[Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs](https://md.research.elamur.ai/free/en/papers/bhatti-2026-multi-task-instruction-tuning-data/)** *(2026)* The paper asks how the ordering and batching of training data affect multi-task instruction tuning of an audio LLM for Arabic–English speech.
32. **[ProBel: Propaganda Detection with Techniques, Spans, and Explanations](https://md.research.elamur.ai/free/en/papers/kmainasi-2026-probel-propaganda-detection-techniques-spans/)** *(2026)* Propaganda analysis is usually split into separate tasks. One task asks whether a sentence is propagandistic, another names the technique, and a third locates the responsible text. These tasks normally live in different datasets, languages and evaluation setups, so it is hard to see how supervision at one level…

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