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相关概念视频

Language and Cognition01:27

Language and Cognition

693
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.
693
Components of Language01:24

Components of Language

723
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.
723
Language Development01:22

Language Development

806
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...
806
Language01:16

Language

862
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...
862
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

3.4K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
3.4K
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

407
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
407

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相关实验视频

Updated: Jan 9, 2026

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

Published on: December 6, 2024

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解释基础语言模型的变化语言概念

Hengyi Wang1, Shiwei Tan1, Zhqing Hong1

  • 1Department of Computer Science, Rutgers University.

Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing
|December 5, 2025
PubMed
概括
此摘要是机器生成的。

基础语言模型 (FLM) 提供先进的自然语言处理,但缺乏直观的解释. 我们的新VALC框架提供了概念层面的见解,增强了理解,超出了简单的词汇分析.

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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding
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相关实验视频

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Published on: December 6, 2024

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科学领域:

  • 自然语言处理自然语言处理.
  • 机器学习的可解释性
  • 人工智能的人工智能

背景情况:

  • 像BERT这样的基础语言模型 (FLM) 在NLP任务中表现出色.
  • 目前使用注意力权重的可解释性方法只提供单词级别的洞察力.
  • 文字层次的解释缺乏更高层次的结构,阻碍了可读性和直觉.

研究的目的:

  • 正式定义和引入"概念解释"的概念.
  • 开发一个新的框架,在FLM中实现概念层面的可解释性.
  • 克服现有的文字层次解释技术的局限性.

主要方法:

  • 提出了一个名为VAriational Language Concept (VALC) 的变量贝叶斯框架.
  • 开发了理论分析,以证明VALC在寻找语言概念方面的最佳性.
  • 在各种现实数据集上验证了框架.

主要成果:

  • VALC成功地超越了单词级别的解释,提供了概念级别的见解.
  • 理论分析证实,VALC确定了解释FLM预测的最佳概念.
  • 经验结果证明了该框架在多个数据集中的有效性.

结论:

  • 该VALC框架在FLM解释性方面取得了重大进展.
  • 概念解释为模型预测提供了更直观和可读的解释.
  • 这种方法提高了基础语言模型的可靠性和可用性.