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Language Development01:22

Language Development

299
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
299
Language01:16

Language

183
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
183
Modeling and Similitude01:12

Modeling and Similitude

211
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
211
Schemas01:42

Schemas

11.5K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
11.5K
Models, Theories, and Laws01:16

Models, Theories, and Laws

5.0K
Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
5.0K
Language and Cognition01:27

Language and Cognition

308
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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相关实验视频

Updated: May 23, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

474

士学位:通过大型语言模型生成的JSON数据制作交互式扩展现实世界.

Jiangong Chen, Xiaoyi Wu, Tian Lan

    IEEE transactions on visualization and computer graphics
    |March 10, 2025
    PubMed
    概括

    本研究介绍了LLMER,这是一个使用大型语言模型 (LLM) 和JSON数据创建交互式扩展现实 (XR) 世界的框架. 在XR开发中,LLMER显著减少了错误和任务完成时间.

    科学领域:

    • 计算机科学 计算机科学
    • 人与计算机的交互
    • 人工智能的人工智能

    背景情况:

    • 将大型语言模型 (LLM) 与扩展现实 (XR) 集成,使沉浸式环境的自然语言交互成为可能.
    • 目前的XR开发面临着数据提取复杂性的挑战,导致高成本和生成错误.
    • 现有的脚本生成方法经常产生有缺陷的代码,导致应用程序不稳定性和糟糕的用户体验.

    研究的目的:

    • 引入LLMER,这是一个用于使用LLM生成的JSON数据生成交互式XR世界的新框架.
    • 解决当前XR开发方法的局限性,特别是那些依赖于脚本生成的方法.
    • 为了提高效率并减少创建复杂XR环境时的错误.

    主要方法:

    • LLMER将自然语言输入翻译成结构化的JSON数据,绕过直接代码生成.
    • 一个多阶段策略选择性地提供了根据用户请求量身定制的基本上下文信息.
    • 该框架包含多个模块,旨在满足各种XR应用需求.

    主要成果:

    • 与最先进的方法相比,LLMER显示消费代币减少了80%以上.
    • 在初步的用户研究中,任务完成时间减少了约60%.
    • 基于JSON的方法显著降低了应用程序崩和处理延迟.

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    Using Generative Art to Convey Past and Future Climate Transitions
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    Using Generative Art to Convey Past and Future Climate Transitions

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    相关实验视频

    Last Updated: May 23, 2025

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    474
    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
    06:36

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

    Published on: October 18, 2024

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    结论:

    • 对于开发交互式XR体验,LLMER提供了一种更强大,更有效的方法.
    • 该框架有效地减少了错误,并提高了LLM驱动的XR内容创建的性能.
    • 用户反突出了LLMER系统进一步优化和更广泛应用的潜力.