Scholar
Adit Jain
Google Scholar ID: SqyQRHMAAAAJ
PhD Candidate, Cornell University
Citations & Impact
Citations
23
H-index
2
i10-index
0
Publications
14
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers covering topics such as networks of LLMs, bandits, and controlling federated learning, including 'Information Diffusion and Preferential Attachment in a Network of Large Language Models' and 'Blocked Sparse Linear Bandits'.
Research Experience
- Interned at Morgan Stanley's Machine Learning Research Group, where he developed a mixture of tokens generation method to improve verifiable reinforcement learning in large language models. Interned at Adobe Research in the summer of 2024, working on developing high-dimensional sparse bandits algorithms for efficient data annotation, proving regret bounds, and applying this algorithm to improve the efficiency of supervised fine-tuning of large language models.
Education
- Currently a Ph.D. candidate at the School of Electrical and Computer Engineering at Cornell University, advised by Prof. Vikram Krishnamurthy. Expected to graduate in May 2026. Completed Bachelor's degree at IIT Guwahati with a major in Electronics and Communication Engineering and a minor in Computer Science.
Background
- Research interests include reinforcement learning, distributed optimization, and networks of LLMs. Focuses on improving the training and networking of large language models.
Miscellany
- Enjoys reading all kinds of books, learning new topics and skills, discussing and debating, and playing racquet sports like Badminton & Squash.
