5/n Why is this exciting? (continued)
3️⃣ Empirical success: Plugin outperforms baselines across four datasets (E2E NLG, Web NLG, CommonGen, and Adidas product descriptions) and three LLMs (GPT2-M, GPT2-XL, LLaMA-3.1-8B).

Below, we show how Plugin adapts to the "Adidas domain" by upweighting key terms like "comfortable" and "ambition" during generation. This ensures the output aligns with a specific style (preferred by human evaluators 81% of the time), something the base model struggles with.