Papers by Irfan Ahmad
PromptLab: A Collaborative Platform for Prompt Engineering and Dataset Curation (2026.eacl-demo)
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Maged S. Al-shaibani, Zaid Alyafeai, Dania Refai, Nawaf Alomari, Ahmed Ashraf, Mais Alheraki, Mustafa Alturki, Hamzah Luqman, Irfan Ahmad
| Challenge: | PromptLab is a web-based prompt engineering platform for collaborative prompt development across diverse natural language processing tasks and datasets. |
| Approach: | They propose to integrate prompt generation via OpenRouter and provide real-time validation with multiple Large Language Models. |
| Outcome: | The platform addresses primary challenges in prompt development, including template creation, collaborative review, and quality assurance through a comprehensive workflow that supports both individual researchers and team-based projects. |
Consonant is all you need: a compact representation of English text for efficient NLP (2023.findings-emnlp)
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| Challenge: | In natural language processing, the representation of text plays a crucial role in various tasks such as language modeling, sentiment analysis, and machine translation. |
| Approach: | They propose a method to represent English text with only consonants that is more discriminative than vowels and a technique to retrieve vowel information from it. |
| Outcome: | The proposed representation significantly reduces the overall memory and compute footprint required for storing and processing textual data. |