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相关概念视频

Language and Cognition01:27

Language and Cognition

704
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.
704
Components of Language01:24

Components of Language

746
Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
746
Language Development01:22

Language Development

831
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...
831
Stereotype Content Model02:16

Stereotype Content Model

15.3K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.3K
Language01:16

Language

876
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...
876
Amplifying Signals via Enzymatic Cascade01:22

Amplifying Signals via Enzymatic Cascade

17.2K
When a ligand binds to a cell-surface receptor, the receptor's intracellular domain changes shape, which may either activate its enzyme function or allow its binding to other molecules. The initial signal is amplified by most signal transduction pathways. This means that a single ligand molecule can activate multiple molecules of a downstream target. Proteins that relay a signal are most commonly phosphorylated at one or more sites, activating or inactivating the protein. Kinases catalyze...
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相关实验视频

Updated: Jan 13, 2026

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

1.0K

基于多模式方面的情感分析与插件增强的大型语言模型.

Yuanhe Tian, Yan Song, Yongdong Zhang

    IEEE transactions on neural networks and learning systems
    |October 28, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种基于插件的新方法,用于使用注意力图卷积网络和基于内存的枢纽进行多式联接面面观情绪分析 (MABSA). 该方法增强了大型语言模型 (LLM) 对复杂多式联网连接的理解,实现了最先进的结果.

    相关实验视频

    Last Updated: Jan 13, 2026

    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

    1.0K

    科学领域:

    • 人工智能的人工智能
    • 自然语言处理自然语言处理.
    • 计算机视觉 计算机视觉

    背景情况:

    • 基于多模式方面的情绪分析 (MABSA) 由于复杂的模式间联系而具有挑战性.
    • 现有的方法在对准MABSA不同模式的特征方面扎.
    • 大型语言模型 (LLM) 是有前途的,但面临语义不匹配和高微调成本.

    研究的目的:

    • 为MABSA提出一种基于插件的新方法.
    • 解决目前基于LLM的MABSA方法的局限性,包括语义不匹配和计算费用.
    • 提高对MABSA中视觉和文本数据之间的复杂联系的理解.

    主要方法:

    • 一个基于插件的框架,使用注意力图卷积网络 (A-GCN) 来编码多式联络知识实例.
    • 通过基于内存的枢纽集成编码的知识,以与LLMs对齐表示.
    • 基于两个基准MABSA数据集的评估.

    主要成果:

    • 拟议的方法实现了最先进的性能,超过了现有的基线.
    • 在多种模式之间的复杂连接中展示了优越的处理能力.
    • 展示了多式联络LLM对特定MABSA任务的高效和可扩展的适应.

    结论:

    • 基于插件的方法为MABSA提供了一个有前途的解决方案,通过有效地整合多式联运知识.
    • 该方法可以有效地适应多式联运LLM,降低计算成本.
    • 这种方法为MABSA的性能和适应性设定了新的标准.