Shresth Grover
University of California San Diego
My research focuses on developing multimodal foundation models capable of complex temporal reasoning to build intelligent, general-purpose agents. I am interested in designing novel architectures and training strategies that enable models to understand, plan, and act in dynamic environments, with a particular em phasis on enhancing robustness, generalization, and corrective behavior.
selected publications
- Enhancing Generalization in VLA Models by Preserving Pretrained RepresentationsUnder Review 2024
-