The recently released ChatGPT model demonstrates unprecedented capabilities
in zero-shot question-answering. In this work, we probe ChatGPT for its
conversational understanding and introduce a conversational framework
(protocol) that can be adopted in future studies. The Pok\'emon universe serves
as an ideal testing ground for auditing ChatGPT's reasoning capabilities due to
its closed world assumption. After bringing ChatGPT's background knowledge (on
the Pok\'emon universe) to light, we test its reasoning process when using
these concepts in battle scenarios. We then evaluate its ability to acquire new
knowledge and include it in its reasoning process. Our ultimate goal is to
assess ChatGPT's ability to generalize, combine features, and to acquire and
reason over newly introduced knowledge from human feedback. We find that
ChatGPT has prior knowledge of the Pokemon universe, which can reason upon in
battle scenarios to a great extent, even when new information is introduced.
The model performs better with collaborative feedback and if there is an
initial phase of information retrieval, but also hallucinates occasionally and
is susceptible to adversarial attacks.

本研究利用 "Pokemon" 这个封闭世界来探讨 ChatGPT 在对话中的理解、推理能力和知识获取能力，并测试了其识别新知识和结合多个特征等能力，并发现了模型的先验知识、出现幻觉和易受对抗性攻击等特点。