Concetti Chiave
The authors evaluate the decision-making abilities of Large Language Models post role-playing to enhance their efficacy and provide guidance for role-playing tasks.
Sintesi
Large language models are assessed for decision-making abilities post role-playing, focusing on adaptability, exploration & exploitation trade-off ability, reasoning ability, and safety. Results show correlations between MBTI types and decision-making abilities across various roles.
Large language models exhibit emergent abilities like in-context learning and few-shot learning. Role-playing prompts can enhance reasoning ability by assigning expert roles. Decision-making is crucial for AI agents to achieve specific objectives.
Role-playing methodologies aim to quantify impersonation proficiency of large language models. The Myers–Briggs Type Indicator is used to assign character roles for evaluation across different dimensions of decision-making abilities.
Statistiche
"Extensive experiments demonstrate stable differences in the four aspects of decision-making abilities across distinct roles."
"The results underscore that LLMs can effectively impersonate varied roles while embodying their genuine sociological characteristics."
Citazioni
"LLMs exhibit different behavior when assigned specific personas."
"Role-playing can directionally change the decision-making ability in ChatGPT."