Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Language and Cognition

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.

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for k_a Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...

Language Development

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...

Econometric Views (EViews)

Econometric Views (EViews)

Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...

RNA Editing

RNA Editing

RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...

Models, Theories, and Laws

Models, Theories, and Laws

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Sequence-Engineered G-Triplex/Methylene Blue System as a Label-Free Electrochemical Signal Module for Biosensor.

Analytical chemistry·2026

Same author

RuleScope: Semantic-aware Authoring of Data Validation Rules.

IEEE transactions on visualization and computer graphics·2026

Same author

GeoAuthor: Linking Text and Visualization for Geographic Article Authoring.

IEEE transactions on visualization and computer graphics·2026

Same author

RCInvestigator: Towards Better Investigation of Anomaly Root Causes in Cloud Computing Systems.

IEEE transactions on visualization and computer graphics·2026

Same author

ChronoDeck: A Visual Analytics Approach for Hierarchical Time Series Analysis.

IEEE transactions on visualization and computer graphics·2025

Same author

HYPNOS: Interactive Data Lineage Tracing for Data Transformation Scripts.

IEEE transactions on visualization and computer graphics·2025

Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026

Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026

Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026

Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026

Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026

Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 20, 2026

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

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

Published on: December 6, 2024

KEditVis: A Visual Analytics System for Knowledge Editing of Large Language Models.

Zhenning Chen, Hanbei Zhan, Yanwei Huang

IEEE Transactions on Visualization and Computer Graphics

|May 18, 2026

Summary

This summary is machine-generated.

This study introduces KEditVis, a visual analytics system to improve knowledge editing in Large Language Models (LLMs). KEditVis enhances factual correction by offering transparent insights into model layers and editing effectiveness.

More Related Videos

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

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

Published on: July 22, 2025

Related Experiment Videos

Last Updated: May 20, 2026

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

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

Published on: December 6, 2024

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

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

Published on: July 22, 2025

Area of Science:

Artificial Intelligence
Human-Computer Interaction

Background:

Large Language Models (LLMs) excel at factual question answering but can produce inaccuracies.
Knowledge editing techniques aim to correct factual errors in LLMs.
Current knowledge editing methods lack transparency in layer selection and rely on insufficient guidance indicators.

Purpose of the Study:

To present KEditVis, a visual analytics system for understanding and improving knowledge editing in LLMs.
To enable users to identify optimal model layers for editing and diagnose ineffective edits.
To facilitate the discovery of insights for advancing knowledge editing algorithms.

Main Methods:

Development of KEditVis, a novel visual analytics system.
Integration of interactive visualizations to explore knowledge editing processes.
Evaluation through usage scenarios, expert interviews, and a user study.

Main Results:

KEditVis provides users with deeper understanding of knowledge editing.
The system aids in selecting appropriate editing targets and performing more effective edits.
Evaluation confirms the system's effectiveness and usability.

Conclusions:

KEditVis enhances transparency and effectiveness in LLM knowledge editing.
Interactive visualization is crucial for optimizing knowledge editing strategies.
The system supports targeted factual correction and informs future algorithm development.