Pheng Ann Heng

Reward models optimized for single-step generation can fail spectacularly when integrated into multi-stage LLM pipelines, but pipeline-aware training can fix this.

Chemical modifications to proteins, often missed by standard protein language models, can now be accurately captured and leveraged for improved biomolecule design, thanks to a new framework that fuses atomic-level details with broader sequence context.