Large language models for robotics: A survey

F Zeng, W Gan, Y Wang, N Liu, PS Yu - arXiv preprint arXiv:2311.07226, 2023 - arxiv.org
The human ability to learn, generalize, and control complex manipulation tasks through multi-
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …

Working memory

A Baddeley - Science, 1992 - science.org
The term working memory refers to a brain system that provides temporary storage and
manipulation of the information necessary for such complex cognitive tasks as language …

The rise and potential of large language model based agents: A survey

Z Xi, W Chen, X Guo, W He, Y Ding, B Hong… - arXiv preprint arXiv …, 2023 - arxiv.org
For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

Towards reasoning in large language models: A survey

J Huang, KCC Chang - arXiv preprint arXiv:2212.10403, 2022 - arxiv.org
Reasoning is a fundamental aspect of human intelligence that plays a crucial role in
activities such as problem solving, decision making, and critical thinking. In recent years …

Language models show human-like content effects on reasoning

I Dasgupta, AK Lampinen, SCY Chan… - arXiv preprint arXiv …, 2022 - arxiv.org
Abstract reasoning is a key ability for an intelligent system. Large language models (LMs)
achieve above-chance performance on abstract reasoning tasks, but exhibit many …

[PDF][PDF] On defining artificial intelligence

P Wang - Journal of Artificial General Intelligence, 2019 - intapi.sciendo.com
This article systematically analyzes the problem of defining “artificial intelligence.” It starts by
pointing out that a definition influences the path of the research, then establishes four criteria …

Meaning without reference in large language models

ST Piantadosi, F Hill - arXiv preprint arXiv:2208.02957, 2022 - arxiv.org
The widespread success of large language models (LLMs) has been met with skepticism
that they possess anything like human concepts or meanings. Contrary to claims that LLMs …

Positionality and its problems: questioning the value of reflexivity statements in research

J Savolainen, PJ Casey, JP McBrayer… - Perspectives on …, 2023 - journals.sagepub.com
There has been a remarkable push for the use of positionality statements—also known as
reflexivity statements—in scientific-journal articles and other research literatures. Grounded …

[图书][B] Cognitive development and cognitive neuroscience: The learning brain

U Goswami - 2019 - taylorfrancis.com
Cognitive Development and Cognitive Neuroscience: The Learning Brain is a thoroughly
revised edition of the bestselling Cognitive Development. The new edition of this full-colour …

Graph-based reasoning over heterogeneous external knowledge for commonsense question answering

S Lv, D Guo, J Xu, D Tang, N Duan, M Gong… - Proceedings of the AAAI …, 2020 - aaai.org
Commonsense question answering aims to answer questions which require background
knowledge that is not explicitly expressed in the question. The key challenge is how to …