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Assessing the Strengths and Weaknesses of Large Language Models 评估大型语言模型的优缺点
3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-11-11 DOI: 10.1007/s10849-023-09409-x
Shalom Lappin
Abstract The transformers that drive chatbots and other AI systems constitute large language models (LLMs). These are currently the focus of a lively discussion in both the scientific literature and the popular media. This discussion ranges from hyperbolic claims that attribute general intelligence and sentience to LLMs, to the skeptical view that these devices are no more than “stochastic parrots”. I present an overview of some of the weak arguments that have been presented against LLMs, and I consider several of the more compelling criticisms of these devices. The former significantly underestimate the capacity of transformers to achieve subtle inductive inferences required for high levels of performance on complex, cognitively significant tasks. In some instances, these arguments misconstrue the nature of deep learning. The latter criticisms identify significant limitations in the way in which transformers learn and represent patterns in data. They also point out important differences between the procedures through which deep neural networks and humans acquire knowledge of natural language. It is necessary to look carefully at both sets of arguments in order to achieve a balanced assessment of the potential and the limitations of LLMs.
驱动聊天机器人和其他人工智能系统的转换器构成了大型语言模型(llm)。这些都是目前科学文献和大众媒体热烈讨论的焦点。讨论的范围从将一般智力和感知归因于法学硕士的夸张说法,到怀疑这些设备只不过是“随机鹦鹉”的观点。我概述了一些反对法学硕士的薄弱论点,并考虑了对这些设备的一些更有说服力的批评。前者严重低估了变压器在复杂、认知意义重大的任务中实现高水平表现所需的微妙归纳推理的能力。在某些情况下,这些论点误解了深度学习的本质。后一种批评指出了变形器学习和表示数据模式的方式的重大局限性。他们还指出了深度神经网络和人类获取自然语言知识的过程之间的重要区别。有必要仔细研究这两种观点,以便对法学硕士的潜力和局限性进行平衡评估。
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引用次数: 0
A Computational Algebraic Analysis of Hindi Syntax 印地语句法的计算代数分析
3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-11-11 DOI: 10.1007/s10849-023-09404-2
Alok Debanth, Manish Shrivastava
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引用次数: 0
Double Negation as Minimal Negation 双重否定是最小否定
3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-11-11 DOI: 10.1007/s10849-023-09413-1
Satoru Niki
Abstract N. Kamide introduced a pair of classical and constructive logics, each with a peculiar type of negation: its double negation behaves as classical and intuitionistic negation, respectively. A consequence of this is that the systems prove contradictions but are non-trivial. The present paper aims at giving insights into this phenomenon by investigating subsystems of Kamide’s logics, with a focus on a system in which the double negation behaves as the negation of minimal logic. We establish the negation inconsistency of the system and embeddability of contradictions from other systems. In addition, we attempt at an informational interpretation of the negation using the dimathematical framework of H. Wansing.
N. Kamide介绍了一对经典逻辑和建构逻辑,它们各自具有独特的否定类型:它们的双重否定分别表现为经典否定和直觉否定。这样做的一个后果是,这些系统证明了矛盾,但并非微不足道。本文旨在通过研究神出逻辑的子系统来深入了解这一现象,重点关注双重否定行为为最小逻辑否定的系统。建立了系统的否定性、矛盾性和其他系统矛盾的可嵌入性。此外,我们尝试使用万辛的数字框架对否定进行信息解释。
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引用次数: 0
Commutative Lambek Grammars 交换Lambek语法
3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-10-30 DOI: 10.1007/s10849-023-09407-z
Tikhon Pshenitsyn
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引用次数: 1
Graph Grammar Formalism with Multigranularity for Spatial Graphs 空间图的多粒度图语法形式化
3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-10-06 DOI: 10.1007/s10849-023-09406-0
Yufeng Liu, Fan Yang, Jian Liu
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引用次数: 0
A Logical Theory for Conditional Weak Ontic Necessity Based on Context Update 基于语境更新的条件弱本体必然性逻辑理论
3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-09-21 DOI: 10.1007/s10849-023-09403-3
Fengkui Ju
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引用次数: 1
Iterated AGM Revision Based on Probability Revision 基于概率修正的AGM迭代修正
IF 0.8 3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-08-20 DOI: 10.1007/s10849-023-09402-4
S. Hansson
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引用次数: 1
Convexity and Monotonicity in Language Coordination: Simulating the Emergence of Semantic Universals in Populations of Cognitive Agents 语言协调中的凸性和单调性:模拟认知主体群体中语义共相的出现
IF 0.8 3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-08-17 DOI: 10.1007/s10849-023-09401-5
Nina Gierasimczuk, Dariusz Kalociński, F. Rakowski, Jakub Uszyński
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引用次数: 0
On the Fundamental Role of ‘Means That’ in Semantic Theorizing 论“Means That”在语义理论化中的基本作用
IF 0.8 3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-07-07 DOI: 10.1007/s10849-022-09393-8
Teo Grünberg, David Grünberg, Oğuz Akçelik
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引用次数: 0
A short note on the analysis of the -ko siph- construction based on restructuring 浅谈基于结构调整的-ko - siph结构分析
IF 0.8 3区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-06-30 DOI: 10.29403/li27.1.3
Semoon Hoe
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引用次数: 0
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Journal of Logic Language and Information
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