I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench

التفاصيل البيبلوغرافية
العنوان: I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench
المؤلفون: Li, Yuan, Huang, Yue, Lin, Yuli, Wu, Siyuan, Wan, Yao, Sun, Lichao
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computation and Language
الوصف: Do large language models (LLMs) exhibit any forms of awareness similar to humans? In this paper, we introduce AwareBench, a benchmark designed to evaluate awareness in LLMs. Drawing from theories in psychology and philosophy, we define awareness in LLMs as the ability to understand themselves as AI models and to exhibit social intelligence. Subsequently, we categorize awareness in LLMs into five dimensions, including capability, mission, emotion, culture, and perspective. Based on this taxonomy, we create a dataset called AwareEval, which contains binary, multiple-choice, and open-ended questions to assess LLMs' understandings of specific awareness dimensions. Our experiments, conducted on 13 LLMs, reveal that the majority of them struggle to fully recognize their capabilities and missions while demonstrating decent social intelligence. We conclude by connecting awareness of LLMs with AI alignment and safety, emphasizing its significance to the trustworthy and ethical development of LLMs. Our dataset and code are available at https://github.com/HowieHwong/Awareness-in-LLMTest.
نوع الوثيقة: Working Paper
الوصول الحر: http://arxiv.org/abs/2401.17882Test
رقم الانضمام: edsarx.2401.17882
قاعدة البيانات: arXiv