Large language models (LLMs), such as OpenAI's GPT-4, Google's Bard or Meta's LLaMa, have created unprecedented opportunities for analysing and generating language data on a massive scale. Because language data have a central role in all areas of psychology, this new technology has the ...
Large language models (LLMs), such as OpenAI’s GPT-4, Google’s Bard or Meta’s LLaMa, have created unprecedented opportunities for analysing and generating language data on a massive scale. Because language data have a central role in all areas of psychology, this new technology has the ...
Do large language models (LLMs) exhibit any forms of awareness similar to humans? In this paper, we introduce AwareBench, a benchmark designed to evaluate awareness in LLMs. Drawing from theories in psychology and philosophy, we define awareness in LLMs as the ability to understand themselves...
Large Language Modelsnatural language processingA Large Language Model (LLM) is an artificial intelligence system trained on vast amounts of natural language data, enabling it to generate human-like responses to written or spoken language input. Generative Pre-Trained Transformer (GPT)-3.5 is an ...
With the advent of agents instantiated with large-language models (LLMs), which are typically pre-trained, we argue this does not capture the essential aspects of AI safety because in the real world there is not a one-to-one correspondence between designer and agent, and the many agents, ...
New foraging models have been developed, and psychologica... SJ Shettleworth - 《Psychology of Learning & Motivation》 被引量: 66发表: 1988年 Evocation of Behavioral Change by the Reinforcer is the Critical Event in Both the Classical and Operant Procedures. By definition, in a Pavlovian (...
This model identified public stigma in 47% of English tweets (n5,676) which were more negative in sentiment (t (12,143) = 64.38, p < 0.001 [95% CI: 0.29–0.31]). Machine learning can identify stigmatising tweets at large scale, with service user involvement. Given the ...
dictionary methods such as LIWC (Gonçalves et al.,2013), which are typically used by psychology researchers. For example, Bantum and Owen (2009) demonstrated that when analyzing an Internet-based psychological intervention for women with breast cancer, LIWC, in comparison with human raters, ...
This analysis indicated that willingness to take on a cost was a large effect, with an odds ratio of 14.06. That is, an increase of 1 standard deviation in enjoyment was associated with being 14 times more likely to see the cover of a book. For comprehension, the odds ratio was 1.36, ...
Facilitating university admission using a chatbot based on large language models with retrieval-augmented generation We also gathered feedback from 53 high school students who tested the chatbot. The results demonstrated a significant improvement in average accuracy, from ... Z Chen,D Zou,H Xie,.....