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Related Concept Videos

Language Development01:22

Language Development

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...
Language and Cognition01:27

Language and Cognition

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.
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

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...
Components of Language01:24

Components of Language

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. “eh”). Phonemes combine to...
Sensory Modalities01:15

Sensory Modalities

Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...

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Related Experiment Video

Updated: Jun 10, 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

Exploring Multimodal Prompt for Visualization Authoring with Large Language Models.

Zhen Wen, Luoxuan Weng, Yinghao Tang

    IEEE Transactions on Visualization and Computer Graphics
    |June 8, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Large language models (LLMs) struggle with precise visualization instructions. Multimodal prompts, combining text and visuals, enhance LLM understanding and improve visualization authoring accuracy.

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    Constructing and Visualizing Models using Mime-based Machine-learning Framework
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    Constructing and Visualizing Models using Mime-based Machine-learning Framework
    06:19

    Constructing and Visualizing Models using Mime-based Machine-learning Framework

    Published on: July 22, 2025

    Area of Science:

    • Human-Computer Interaction
    • Artificial Intelligence
    • Data Visualization

    Background:

    • Large language models (LLMs) show promise for automating visualization creation via natural language.
    • Text-based prompting for LLMs in visualization authoring lacks precision, leading to errors and inefficiencies.

    Purpose of the Study:

    • To investigate LLM interpretation of ambiguous text prompts for visualization.
    • To introduce and evaluate multimodal prompting (text, visual, direct manipulation) to improve visualization authoring.
    • To understand the conditions causing LLM misinterpretation of user intent in visualization tasks.

    Main Methods:

    • Empirical study on LLM interpretation of text prompts in visualization authoring.
    • Design and implementation of VisPilot, a system supporting multimodal prompts (text, sketches, direct manipulation).
    • Evaluation of VisPilot via controlled user studies and expert assessments.

    Main Results:

    • Multimodal prompts significantly improve the clarity of user intent for LLMs in visualization authoring.
    • Users effectively communicate spatial constraints, local references, and design preferences using multimodal prompts.
    • Task efficiency with multimodal prompts is comparable to text-only prompting.

    Conclusions:

    • Multimodal prompting complements text-based methods, enhancing LLM-driven visualization authoring.
    • VisPilot demonstrates the effectiveness of combining text, sketches, and direct manipulation for intuitive visualization creation.
    • Findings offer design implications for future human-AI collaborative authoring systems.