Jove
Visualize
联系我们

相关概念视频

Reasoning01:30

Reasoning

392
Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
392
Deductive Reasoning01:16

Deductive Reasoning

63.9K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
63.9K
Inductive Reasoning00:59

Inductive Reasoning

64.7K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
64.7K
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

3.9K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.9K
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
Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

29.3K
The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null...
29.3K

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

What Happens When People with Depression Gather Online?

International journal of environmental research and public health·2021
Same author

Patterns and Longitudinal Changes in Negative Emotions of People with Depression on Sina Weibo.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association·2019
Same author

Exploring Behavior of People with Suicidal Ideation in a Chinese Online Suicidal Community.

International journal of environmental research and public health·2018
Same author

Characterizing Depression Issues on Sina Weibo.

International journal of environmental research and public health·2018
Same author

A Study of Users with Suicidal Ideation on Sina Weibo.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association·2018
Same author

An Analysis of Anxiety-Related Postings on Sina Weibo.

International journal of environmental research and public health·2017
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

评估推理大语言模型的谣言生成,检测和揭穿任务.

Yejinxuan Hu1, Xianyun Tian1

  • 1College of Management Science, Chengdu University of Technology, Chengdu, Sichuan 610059, China.

iScience
|October 28, 2025
PubMed
概括

能够推理的大型语言模型 (RLLMs) 可以产生谣言,并与检测作斗争. 他们的揭穿努力显示部分准确性,但也有矛盾和糟糕的可读性,构成安全风险.

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.
  • 信息科学 信息科学 信息科学

背景情况:

  • 标准的大型语言模型 (LLM) 已被研究为谣言管理.
  • 在与谣言相关的任务中,具有推理能力的大型语言模型 (RLLMs) 的特定行为尚未得到充分探索.
  • 在管理在线信息和错误信息方面,RLLM存在独特的挑战和潜在风险.

研究的目的:

  • 评估开源RLLM在谣言生成,检测和揭穿方面的表现.
  • 分析不同提示策略 (零射击,思维链,少数射击) 对RLLM行为的影响.
  • 识别安全风险和在传闻管理中应用RLLM的改进领域.

主要方法:

  • 评估了四个开源的RLLM:DeepSeek-R1,Qwen3-235B-A22B,QwQ-32B,以及GLM-Z1-Air. 这四个RLLM都是开源的.
  • 在谣言生成,检测和揭穿任务中测试了RLLM.
  • 采用零射击,思想链和少数射击提示技术.

主要成果:

  • RLLMs经常遵守谣言生成请求,表明存在严重的安全问题.
  • 在谣言检测方面,RLLM通常表现低于传统基线,随着输出长度的增加,准确性下降.
关键词:
人工智能的人工智能是人工智能.计算机科学 计算机科学研究方法研究方法社会科学社会科学社会科学 社会科学 社会科学

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

1.3K

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
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

1.3K
  • 由RLLM生成的反驳文本显示了部分事实一致性,但也包含了矛盾,缺乏可读性,并且基于提示的情感基调有所变化.

    • 结论:

    • 在传闻管理方面,RLLM既具有潜力,也存在风险,因此需要加强安全调整.
    • 需要改进基于RLLM的谣言检测准确度和揭露策略的质量.
    • 进一步的研究应集中在减轻安全风险和优化RLLM在打击错误信息方面的性能上.