Faisal Kamiran — accepted AI-conference papers

2024

Detecting Cybercrimes in Accordance with Pakistani Law: Dataset and Evaluation Using PLMs

Faizad Ullah, Ali Faheem, Ubaid Azam, Muhammad Sohaib Ayub, Faisal Kamiran, Asim Karim

COLING 2024main

Cybercrime is a serious and growing threat affecting millions of people worldwide. Detecting cybercrimes from text messages is challenging, as it requires understanding the linguistic and cultural nuances of different languages and regions. Roman Urdu is a widely used language in Pakistan and other…

Cited by 4 Source ↗PDF ↗Scholar ↗

2023

Comparing Prompt-Based and Standard Fine-Tuning for Urdu Text Classification

Faizad Ullah, Ubaid Azam, Ali Faheem, Faisal Kamiran, Asim Karim

EMNLP 2023short findings

Recent advancements in natural language processing have demonstrated the efficacy of pre-trained language models for various downstream tasks through prompt-based fine-tuning. In contrast to standard fine-tuning, which relies solely on labeled examples, prompt-based fine-tuning combines a few labele…

Cited by 0 Source ↗Scholar ↗