Mezbaur Rahman

CS PhD Student @ University of Illinois Chicago

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I am Mezbaur Rahman, a Ph.D. student in the Department of Computer Science at the University of Illinois Chicago (UIC), where I work as a Research Assistant in the dl4nlpspace Lab under the guidance of Professor Cornelia Caragea. My research lies at the intersection of Natural Language Processing and Machine Learning, with a focus on semi-supervised learning and learning from noisy labels using signals from large language models (LLMs).

I earned my B.Sc. in Computer Science and Engineering from the Islamic University of technology (IUT), Dhaka, Bangladesh, in 2019. After graduation, I joined IUT as a Lecturer in the Department of Computer Science and Engineering, where I taught undergraduate courses and engaged in research until July 2023. In Fall 2023, I began my Ph.D. journey at UIC, where I am currently pursuing my doctoral studies in Computer Science.

news

Aug 2025 🎉 Our paper “LLM Guided Co-Training for Text Classification” was accepted at EMNLP 2025 (Main). arXiv.
Aug 2025 Organizing the Bengali Code Generation Shared Task (BLP @ IJCNLP-AACL 2025)

selected publications

  1. NLP
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    LLM-Guided Co-Training for Text Classification
    Md Mezbaur Rahman and Cornelia Caragea
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, Nov 2025
  2. NLP
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    Multihop Factual Claim Verification Using Natural Language Prompts
    Md Mezbaur Rahman, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, and 2 more authors
    Proceedings of the Canadian Conference on Artificial Intelligence, Jun 2023
    https://caiac.pubpub.org/pub/ex7vouwq
  3. NLP
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    BanglaRQA: A Benchmark Dataset for Under-resourced Bangla Language Reading Comprehension-based Question Answering with Diverse Question-Answer Types
    Syed Mohammed Sartaj Ekram, Adham Arik Rahman, Md. Sajid Altaf, and 5 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2022, Dec 2022
  4. NLP
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    An efficient approach to automatic tag prediction from movie plot synopses using transformer-based language model
    Md Mezbaur Rahman, Saadman Malik, Mohammed Saidul Islam, and 3 more authors
    In 2022 25th International conference on computer and information technology (ICCIT), Dec 2022