Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Nonconscious Mimicry01:13

Nonconscious Mimicry

5.1K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
5.1K
Positive Symptoms Schizophrenia: Hallucinations and Delusions01:26

Positive Symptoms Schizophrenia: Hallucinations and Delusions

754
Schizophrenia is a complex psychiatric disorder characterized by a range of symptoms that significantly impact cognition, behavior, and emotional regulation. Among these, the positive symptoms stand out as they involve the addition or exaggeration of normal mental functions, deviating markedly from typical behavior and perception. Hallucinations and delusions are prominent positive symptoms, each profoundly affecting the individual's experience of reality.
Hallucinations
Hallucinations in...
754
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

3.9K
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...
3.9K
Sampling Theorem01:15

Sampling Theorem

1.4K
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
1.4K
Hallucinogens and Psychedelics01:27

Hallucinogens and Psychedelics

791
Hallucinogens are psychoactive substances that profoundly alter perceptual experiences, generating unreal visual and sensory images. Often referred to as psychedelic drugs — a term derived from the Greek words "psyche" (mind) and "delos" (revealing) — these substances include marijuana and lysergic acid diethylamide (LSD), among others. These drugs vary in intensity and effects.
Marijuana, derived from the dried leaves and flowers of the hemp plant, contains...
791
Language and Cognition01:27

Language and Cognition

873
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.
873

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Neuroprotective Effects of Transplanted Induced Pluripotent Stem Cell-Derived Neural Precursors in Huntington's Disease Models.

International journal of stem cells·2026
Same author

Clinical-Grade Human Induced Pluripotent Stem Cell-Derived Neural Precursor Cells Restore Motor Function and Preserve Striatal Integrity in a Quinolinic Acid-Lesioned Rat Model of Huntington's Disease.

Cell proliferation·2026
Same author

IDQuAD: Infectious disease question and answering dataset.

PloS one·2025
Same author

Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea.

PloS one·2025
Same author

Investigation on phase formation and thermoelectric transport properties of CoTe2-CoSe2 solid solution alloys.

The Journal of chemical physics·2025
Same author

Weight Loss for Obstructive Sleep Apnea: Pharmacological and Surgical Management.

Journal of rhinology : official journal of the Korean Rhinologic Society·2024
Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Feb 25, 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

1.2K

马格尼特:在大型语言模型中合成假事实样本以减轻幻觉.

Byeong Su Kim1,2, Beomsoo Kim3, Beakcheol Jang3

  • 1IKLAB Inc., Geumcheon-gu, Seoul, South Korea.

PloS one
|February 23, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了MAGNET,这是一种新的微调方法,通过解决预训练数据偏差来减少大型语言模型幻觉. MAGNET通过在培训期间生成和使用反事实句子来提高事实准确性和真实答案问题.

更多相关视频

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.7K

相关实验视频

Last Updated: Feb 25, 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

1.2K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.7K

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.

背景情况:

  • 大型语言模型 (LLM) 经常表现出幻觉,这是一个严重的缺点,影响了它们的可靠性.
  • 现有的减少幻觉的方法有局限性,特别是关于从训练前数据的同时发生统计数据中继承的偏差.

研究的目的:

  • 为了引入一种新的微调框架,Model-AGNostic countErfacTual合成和自适应微调 (MAGNET),旨在减轻LLM幻觉.
  • 解决和减少在预培训机构中存在的共发生统计偏差对句子生成的影响.

主要方法:

  • MAGNET从LLM本身生成反事实样本句子和相关的主题/对象信息.
  • 过过程确保生成的样本在用于微调之前包含特定信息.
  • 该框架使用原始句子及其生成的反事实对应作为适应性微调的培训数据集.

主要成果:

  • 将MAGNET应用于GPT-Neo 2.7B模型,在事实知识探测实验中得到了12%的改进.
  • 相关性分析表明,MAGNET能够减轻来自训练前数据的偏差.
  • 在使用MAGNET对LAMA-TREx数据集进行GPT-Neo 125M模型的微调显示,TruthfulQA基准指标的性能提高了2.27%.

结论:

  • MAGNET提供了一种有效的方法来减少LLMs中的幻觉,通过解决预培训数据中的偏见.
  • 该框架增强了事实准确性和真实性,证明了其在改善LLM绩效方面的实际实用性.