During December 2025, Yang focused on stabilizing model evaluation workflows in the EvolvingLMMs-Lab/lmms-eval repository. Addressing compatibility issues with the LLaVA-OneVision-1.5 model, Yang delivered a targeted Python bug fix that filtered unsupported model_kwargs, directly reducing runtime errors and improving the reliability of downstream model assessments. This work enhanced the robustness of the evaluation pipeline, supporting ongoing experimentation with evolving large multimodal models in production environments. Yang’s approach demonstrated strong debugging skills and attention to code hygiene, ensuring the solution aligned with deployment readiness and future maintenance. The work reflected depth in Python programming, machine learning, and model evaluation.