PhD student, UCLA Computer Science Department, University of California, Los Angeles
2 papers at NeurIPS 2025
We present Omni-Mol, a multitask molecular model that can solve any-to-any modality tasks
Soft Thinking enables large language models to reason more accurately and efficiently by using probability-weighted concept tokens in a continuous space, rather than committing to discrete tokens at each step.
