Dipankar Srirag
Hello, I am Dipankar! 🦘
I am a Ph.D. candidate at the UNSW-NLP group at University of New South Wales. I am advised by Dr. Aditya Joshi, Dr. Padmanesan Narasimhan and Dr. Salil Kanhere. My research interests broadly lie in socio-culturally inclusive language technologies, and my projects involve developing multicultural and multilingual dialogue agents for emergency triage. My Ph.D. project is funded by the NHMRC Ideas grant awarded to Dr. Narasimhan.
I also graduated with a Master of Information Technology with Excellence from UNSW Sydney. My masters thesis, supervised by Dr. Joshi, involved evaluating and improving dialect robustness for decoder models using adapter-based methods.
I have worked as a Research Assistant on a project funded by the Google Research Scholar grant, to build a benchmark for sentiment and sarcasm classification for varieties of English.
Don't hesitate to reach out if you're interested in connecting, collaborating or discussing research... and beyond! I am easier to find on Twitter/X.
What I have been upto...
I started my Ph.D. at the School of Computer Science and Engineering, UNSW Sydney. | |
Our paper, BESSTIE: a benchmark for sentiment and sarcasm classification across varieties of English, is accepted to the Findings of ACL: ACL 2025. Find the dataset on 🤗 Hugging Face. | |
I presented our work on dialect adapters for decoder models at the main proceedings of NAACL 2025 in Albuquerque. | |
Our paper, Evaluating Dialect Robustness of Language Models via Conversation Understanding is published at the SUMEval Workshop @ COLING 2025. | |
I started working as a Research Assistant at the School of Computer Science and Engineering, UNSW Sydney. |