You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: AdapterFusion uses the PLM hidden representation h^l_P LM as a query which is learned when training on a specific downstream task. In our zero-shot setting, however, we use a mixture of synthetic QA for fusion training, which is not exactly a training

Question: Why is KG-Classifier adapter suggested?
To compensate that usage a mixture of synthetic QA for fusion training, which is not exactly a training task.