Yaliu worked on improving reliability and documentation quality across PaddlePaddle/ERNIE and PaddlePaddle/PaddleFormers repositories. In ERNIE, Yaliu enhanced pre-training documentation by correcting typos and restructuring section headers, which reduced onboarding friction for researchers using the model. In PaddleFormers, Yaliu addressed a critical out-of-memory issue during model resume by implementing an optimizer state offloading mechanism, ensuring that large models could be resumed without failure. These contributions demonstrated strong debugging and memory management skills, with solutions implemented in Python and Markdown. Yaliu’s work focused on practical problem-solving, directly improving usability and stability for both documentation and model training workflows.