大型语言模型应该模拟什么?
1Department of Psychology and Department of Linguistics, University of California, Los Angeles, Los Angeles, CA, USA.
Trends in cognitive sciences
|September 2, 2023
概括
大型语言模型 (LLM) 可能为人类语言处理提供计算洞察力. 了解它们与生物大脑的关系需要对LLM作为科学假设进行不同的解释.
科学领域:
- 认知科学 认知科学
- 计算语言学 计算语言学
- 人工智能的人工智能
背景情况:
- 大型语言模型 (LLM) 的日益复杂化引发了关于它们与人类认知相关性的问题.
- 关于LLM是否代表人类语言处理的有效计算理论存在争论.
研究的目的:
- 探索大型语言模型 (LLM) 是否可以被视为人类语言处理的计算解释.
- 确定心理语言学和语言学理论在理解人工智能和生物智能之间的联系中的作用.
主要方法:
- 作为假设的大型语言模型 (LLM) 的概念分析.
- 检查认知科学LLM的不同的解释框架.
主要成果:
- 解释LLM作为人类认知模型并不是单一的.
- 存在多种,从根本上不同的方式来将LLM视为关于人类语言的假设.
结论:
- 在理解人类思想的LLMs的实用性取决于所选择的解释框架.
- 心理语言学理论对于导航人工和生物语言系统之间的关系至关重要.
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