My current research, revolving around large language models (LLM), is dedicated to more efficient and performant learning with limited supervision. In particular, I explore novel learning paradigms, in which humans and machines interact more effectively. I also investigate the learning objective design in order to improve the model trained with noisy/limited supervision. I am also interested in how to strategically select data to maximize annotation efficiency.