Supervisor(s): Prof. Dr. Ponnurangam Kumaraguru
Description: We work on improving task performance in code-mixed settings to address challenges of code-mixed data scarcity, by exploring multi-turn language interpretability of PLMs and LLMs, transfer learning techniques, etc.
Supervisor(s): Prof. Dr. Adam Jatowt
Description: We aim to understand the ability of LLMs in temporal reasoning, predicting future events with or without a given context, prompt designing and improving event prediction in general.
Supervisor(s): Prof. Dr. Sriparna Saha, Abishek Tiwari
Description: We focus on learning from text, image, speech and video for automatic disease diagnosis, response and report generation, clinical conversation summarization and other healthcare applications
Supervisor(s): Dr. Venkatesh Vinayakarao
Description: Our experiments involve finding out whether increasing isotropy of embeddings improve the quality of generation and prediction across tasks in various domains.