Sagnik Anupam
I am a PhD student in Computer and Information Science at the University of Pennsylvania, where I am fortunate to be co-advised by Osbert Bastani and Dinesh Jayaraman. My research interests include improving the reasoning abilities of large multimodal models in domains like math, programming, visual reasoning, and robotics.
Previously, I graduated with a bachelor's degree from Massachusetts Institute of Technology, where I double-majored in computer science and mathematics. There, I worked with Armando Solar-Lezama and Omar Costilla-Reyes on neurosymbolic program synthesis and Stefanie Shattuck-Hufnagel and Jeung-Yoon Elizabeth Choi on acoustic cue detection. I also spent a summer at Imperial College, London working with Cristopher Salvi. You can find out more about my past experiences here.
I am a member of trustML@Penn, the ASSET Center, and the Perception, Action, & Learning Group at the GRASP Laboratory. I'd love to hear from you if you wish to work with me or collaborate with any of the organizations that I am currently a part of.
Updates
Selected Works
Effective Reinforcement Learning for Reasoning in Language Models
Pre-emptive sampling and gradient filtering for improving GRPO performance.
LLM Program Optimization via Retrieval Augmented Search
A contextual retrieval-augmented search approach for program optimization using LLMs.
MathDSL: A Domain-Specific Language for Concise Mathematical Solutions Via Program Synthesis
A domain-specific language for solving mathematical equations with neurosymbolic program synthesis.