大型语言模型和小人群的智慧
1Department of Cognitive Science, University of California, San Diego, San Diego, CA, USA.
Open mind : discoveries in cognitive science
|June 3, 2024
概括
大型语言模型 (LLM) 对研究数据有希望,但人类数据仍然有价值. 一种新的"需要击败的数量" (NNB) 方法显示了多少人与LLM质量相匹配.
科学领域:
- 计算语言学 计算语言学
- 心理语言学 心理语言学
- 人工智能的人工智能
背景情况:
- 大型语言模型 (LLM) 越来越多地用于研究,这引发了关于它们替代人类生成数据的能力的问题.
- 假设LLM捕捉集体人类知识 (
- 人群的智慧是群众的智慧.
- ) 来自大量培训数据缺乏强大的经验验证.
研究的目的:
- 引入和验证一种新的方法框架,即"需要击败的数量" (NNB),用于将人类数据的质量与LLM生成的数据进行比较.
- 评估NNB方法在各种心理语言学数据集中的实用性.
- 探索结合LLM和人类数据的混合方法.
主要方法:
- 开发"需要击败的数量" (NNB) 度量来量化匹配LLM (GPT-4) 性能所需的人类样本大小.
- 在四个英语心理语言学数据集中收集了新的人类数据.
- 实施和评估两种整合LLM和人类数据的"centaur"方法.
主要成果:
- 所有测试的心理语言数据集的NNB大于1,表明人类数据仍然具有独特的价值.
- 在各个任务中,NNB各不相同,有些任务只需要少量的人类参与者 (例如2),以与LLM质量竞争.
- 结合LLM和人类数据的混合"百年级"方法,与单独的数据源相比,表现优越.
结论:
- 该NNB框架提供了一种定量方法,用于评估LLM生成的数据与研究工作流程的整合.
- 虽然LLM具有潜力,但人类数据仍然至关重要,混合方法可以优化数据质量和成本效益.
- 这个框架可以指导研究人员做出明智的决策,利用LLM数据与传统的人体主题研究一起.
更多相关视频
08:56Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
Published on: January 13, 2023
2.2K
08:05Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
7.5K
相关概念视频
Social Proof
27.7K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
27.7K
Decision Making: Traditional Method
4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Language and Cognition
342
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.
342
Hindsight Biases
3.4K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
3.4K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
48
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
48
Interpretation of Confidence Intervals
5.7K
A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
5.7K
