Hello, people from the future! I am Sujan, a PhD student at RIT in Computing and Information Sciences. My PhD advisor is Dr. Ashique KhudaBukhsh. My research is dedicated to extracting social insights through NLP tools and developing reliable AI systems. My work has been recognized at top AI conferences, including IJCAI and EMNLP. Beyond academia, my role as an educational content creator at Normalized Nerd allows me to share my knowledge in machine learning and data science, impacting a global audience of over 95,000 subscribers.
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Publications
- RLAIF for Code Generation with API-usage in Lightweight LLMs. (ACL NLRSE 2024). [PDF]
- Down the Toxicity Rabbit Hole: A Novel Framework to Bias Audit Large Language Models. (IJCAI 2024). [PDF]
- Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive. (EMNLP 2023). [PDF]
- Disentangling societal inequality from model biases: gender inequality in divorce court proceedings. (IJCAI 2023). [PDF]
- For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles. (IJCAI 2023). [PDF]
- A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance. (IJCAI 2022). [PDF]
- A Shallow Approach to Gradient Boosting (XGBoosts) for Prediction of the Box Office Revenue of a Movie. (ISACS 2021). [PDF]