Greetings! 👽
I am G M Shahariar Shibli (), a first year PhD Student in the Computer Science and Engineering department at the University of California, Riverside. I am currently working in the Natural Language Processing group at UCR and very fortunate to be advised by Professor Yue Dong. At present, I am investigating bias, fairness and safety in LLMs and Text-to-Image (T2I) generation models.
Prior to that I worked as a Lecturer at the Department of CSE, Ahsanullah University of Science and Technology. I obtained my Bachelor's degree in CSE from the same university. My career aspiration is to work in leading AI research laboratories. I am open to the possibility of collaboration. Feel free to email.
My past research works were intended to tackle low resource NLP, covering areas like natural language generation, summarization, question answering (QA), and interpretability of language models. I had utilized cutting-edge techniques like generative and contrastive learning to improve language generation and representation learning for low resource language. Additionally, I had applied natural language processing in specific software engineering (SE) tasks.
Recent News âš¡
- [September 2024] Adversarial Attack on POS Tags in T2I models got accepted in EMNLP 2024 findings!
- [May 2024] Ben-Sarc published in Natural Language Processing!
- [April 2024] BFRD published in Neurocomputing!
- [January 2024] Noise Reduction Methods on Noisy Bengali Texts got accepted in W-NUT 2024 collocated with EACL 2024!
- [November 2023] One paper of my undergraduate thesis group got accepted at ICCIT 2023!
- [October 2023] I will supervise Three undergraduate thesis groups starting this semester!
- [July 2023] CLAA got accepted at ASE 2023.