I am Ridwan Mahbub, an AI enthusiast with high interest in NLP research. As an MSc student at York University, I am currently working on ethical data visualization techniques using LLMs, supervised by Dr. Enamul Hoque. I have completed my Bachelor’s degree in Computer Science and Engineering from the Islamic University of Technology. My research interests lie at the intersection of NLP and Visualization. I am also interested in creative language processing. Recently, I published a paper on a new NLP task Poem Summarization at EMNLP 2023, where we introduced a novel dataset and benchmark for understanding creative language in language models.

I am seeking internship opportunities for Summer 2025.

Publications

1. Unveiling the essence of poetry: Introducing a comprehensive dataset and benchmark for poem summarization
   Publication date: December, 2023
   Conference: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
   This work benchmarks the creative language understanding and summarizing capacity of language models and highlights numerous short-comings of prevalent text summarization models.
2. A comparative analysis of efficient convolutional neural network based methods for plant disease classification
   Publication date: December, 2022
   Conference: 2022 25th international conference on computer and information technology (ICCIT)
   The work delves into the complexities of plant disease classification, covering aspects such as available datasets, transfer learning, and a comparative analysis of lightweight CNN models for leaf disease.