Exploring the Responses of Large Language Models to Beginner Programmers’ Help Requests arxiv.org From discussion: A significant limitation to the quality of GPT-3.5’s responses is that 48% of them reported on issues that did not actually exist in the student’s … Continued
When presenting evidence of validity, social scientists tend to rely on popular methods such as reliability, regression, and confirmatory factor analysis. The quality of the model output is often determined by fairly arbitrary cutoff values, some of which arise from … Continued
Successful teaching requires an assumption of how the learner learns – how the learner uses experiences from the world to update their internal states. We investigate what expectations people have about a learner when they teach them in an online … Continued
Conceptual Design Generation Using Large Language Models arxiv.org Concept generation is a creative step in the conceptual design phase, where designers often turn to brainstorming, mindmapping, or crowdsourcing design ideas to complement their own knowledge of the domain. Recent advances … Continued
An essential element of K-12 AI literacy is educating learners about the ethical and societal implications of AI systems. Previous work in AI ethics literacy have developed curriculum and classroom activities that engage learners in reflecting on the ethical implications … Continued
arxiv.org Large language models (LLMs) have demonstrated remarkable capabilities in language generation, understanding, and few-shot learning in recent years. An extensive body of work has explored how their performance may be further improved through the tools of prompting, ranging from … Continued
Whenever someone in a team tries to help others, it is crucial that they have some understanding of other team members’ goals. In modern teams, this applies equally to human and artificial (“bot”) assistants. Understanding when one does not know … Continued
Large language models of artificial intelligence (AI) such as ChatGPT find remarkable but controversial applicability in science and research. This paper reviews epistemological challenges, ethical and integrity risks in science conduct. This is with the aim to lay new timely … Continued
The two figures are the interesting parts: arxiv.org Abstract: The Internet revolution in 1990, followed by the data-driven and information revolution, has transformed the world as we know it. Nowadays, what seam to be 10 to 20 years ago, a … Continued
Many accounts of risk from Artificial Intelligence (AI), including existential risk, involve self-improvement. The idea is that, if an AI gained the ability to improve itself, it would do so, since improved capabilities are useful for achieving essentially any goal. … Continued