Undergraduate Student, Computer Science & Engineering
Manipal University Jaipur
danush.229310455 [at] muj.manipal.edu danushkhanna danushkhanna7 danushk
I am a third-year undergraduate student at MU Jaipur, advised by Sandeep Chaurasia and co-advised by Kripabandhu Ghosh (IISER Kolkata) and Amitava Das (UofSC, AIISC).
My research focuses on Natural Language Processing and topics in natural language generation and model interpretability. I'm currently working on improving our understanding of Reinforcement Learning from Human Feedback and new ways to create robust and well-calibrated reward models. I also have done some work with efficiency in decoding algorithms, and using explanations to predict large language model out-of-distribution robustness.
Prior to research, I've also had the chance to participate in quite a few hackathons, and I've made a lot of fun and interesting projects, including securing patents for some of them.
Feel free to send me an email if you'd like to chat about RLHF, text generation, interpretability, or NLP in general! Likewise, if you're a high-schooler or undergrad who's interested in getting into machine learning / research, I'm always happy to give advice if you feel like I can be of any help.
📣 [08/2024] I am joining the University of Maryland, College Park research a intern in Fall 2024.
📣 [06/2024] Our paper on legal judgment outcome prediction and explainability using LLMs is accepted to appear @ ACL 2024.
📣 [05/2024] I am joining the AI Institute of University of South Carolina as a summer research intern. I will spend the summer of 2024 working on policy optimization.
Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts code
* Equal contribution
† Corresponding author
University of Maryland, College Park. Research Intern, Natural Language Processing. Fall 2024-Present.
AI Institute of University of South Carolina. Summer Research Intern. Summer 2024 [Policy Optimization].