Can We Optimize the Performance-Carbon Emission Break-Even Point?: The Quest for Greener LLMs
It is discovered from several outcomes that the carbon term behaves as either harmful interference or beneficial regularization depending on the task structure, which positions calibrated carbon-aware fine-tuning as a lightweight, drop-in regularizer with a non-empty but model and task-dependent break-even region.