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Programming students have a widespread access to powerful Generative AI tools like ChatGPT. While this can help understand the learning material and assist with exercises, educators are voicing more and more concerns about an overreliance…

人机交互 · 计算机科学 2025-02-24 Christian Rahe , Walid Maalej

Recently, ChatGPT has attracted great attention, as it can generate fluent and high-quality responses to human inquiries. Several prior studies have shown that ChatGPT attains remarkable generation ability compared with existing models.…

计算与语言 · 计算机科学 2023-03-03 Qihuang Zhong , Liang Ding , Juhua Liu , Bo Du , Dacheng Tao

Large language models are increasingly capable of generating fluent-appearing text with relatively little task-specific supervision. But can these models accurately explain classification decisions? We consider the task of generating…

计算与语言 · 计算机科学 2022-05-06 Sarah Wiegreffe , Jack Hessel , Swabha Swayamdipta , Mark Riedl , Yejin Choi

The emergence of an AI-powered chatbot that can generate human-like sentences and write coherent essays has caught the world's attention. This paper discusses the historical overview of chatbots and the technology behind Chat Generative…

计算与语言 · 计算机科学 2023-08-11 Sakib Shahriar , Kadhim Hayawi

This thesis delves into a fortiori arguments in deductive reasoning, underscoring their relevance in various domains such as law, philosophy, and artificial intelligence. The research is centred on employing GPT-3.5-turbo to automate the…

人工智能 · 计算机科学 2023-11-23 Yanyi Pu

This paper explores and assesses in what ways generative AI can assist in translating survey instruments. Writing effective survey questions is a challenging and complex task, made even more difficult for surveys that will be translated and…

计算与语言 · 计算机科学 2025-01-13 Erica Ann Metheney , Lauren Yehle

Agentic Artificial Intelligence (AI) builds upon Generative AI (GenAI). It constitutes the next major step in the evolution of AI with much stronger reasoning and interaction capabilities that enable more autonomous behavior to tackle…

人工智能 · 计算机科学 2025-04-29 Johannes Schneider

The fundamental principles, potential applications, and ethical concerns of ChatGPT are analyzed and discussed in this study. Since ChatGPT emerged, it has gained a rapidly growing popularity, with more than 600 million users today. The…

其他计算机科学 · 计算机科学 2023-08-15 Ioannis D. Apostolopoulos , Mpesi Tzani , Sokratis I. Aznaouridis

The increasing use of generative AI in scientific writing raises urgent questions about attribution and intellectual credit. When a researcher employs ChatGPT to draft a manuscript, the resulting text may echo ideas from sources the author…

计算机与社会 · 计算机科学 2025-09-18 Brian D. Earp , Haotian Yuan , Julian Koplin , Sebastian Porsdam Mann

The introduction of Artificial Intelligence (AI) generative language models such as GPT (Generative Pre-trained Transformer) and tools such as ChatGPT has triggered a revolution that can transform how text is generated. This has many…

计算与语言 · 计算机科学 2025-03-17 Pedro Reviriego , Javier Conde , Elena Merino-Gómez , Gonzalo Martínez , José Alberto Hernández

The rampant spread of fake news has adversely affected society, resulting in extensive research on curbing its spread. As a notable milestone in large language models (LLMs), ChatGPT has gained significant attention due to its exceptional…

计算与语言 · 计算机科学 2024-04-09 Yue Huang , Lichao Sun

A significant body of recent research in the field of Learning Analytics has focused on leveraging machine learning approaches for predicting at-risk students in order to initiate timely interventions and thereby elevate retention and…

机器学习 · 计算机科学 2023-06-26 Teo Susnjak

Generative AI technologies such as large language models show novel potentials to enhance educational research. For example, generative large language models were shown to be capable to solve quantitative reasoning tasks in physics and…

物理教育 · 物理学 2023-10-03 Fabian Kieser , Peter Wulff , Jochen Kuhn , Stefan Küchemann

The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in automated mental health analysis. However, existing relevant studies bear several limitations, including inadequate evaluations, lack of prompting…

计算与语言 · 计算机科学 2024-10-03 Kailai Yang , Shaoxiong Ji , Tianlin Zhang , Qianqian Xie , Ziyan Kuang , Sophia Ananiadou

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…

计算机与社会 · 计算机科学 2023-08-01 Evangelos Pournaras

We propose a new method for generating explanations with AI and a tool to test its expressive power within a user interface. In order to bridge the gap between philosophy and human-computer interfaces, we show a new approach for the…

人机交互 · 计算机科学 2022-02-22 Francesco Sovrano , Fabio Vitali

Recently, several methods have leveraged deep generative modeling to produce example-based explanations of image classifiers. Despite producing visually stunning results, these methods are largely disconnected from classical explainability…

机器学习 · 计算机科学 2025-09-11 Philipp Vaeth , Alexander M. Fruehwald , Benjamin Paassen , Magda Gregorova

This research aims to take advantage of artificial intelligence techniques in producing students assessment that is compatible with the different academic accreditations of the same program. The possibility of using generative artificial…

计算机与社会 · 计算机科学 2023-12-04 Rania Anwar Aboalela

A growing body of work studies how to answer a question or verify a claim by generating a natural language "proof": a chain of deductive inferences yielding the answer based on a set of premises. However, these methods can only make sound…

计算与语言 · 计算机科学 2022-11-02 Zayne Sprague , Kaj Bostrom , Swarat Chaudhuri , Greg Durrett

Building explainable systems is a critical problem in the field of Natural Language Processing (NLP), since most machine learning models provide no explanations for the predictions. Existing approaches for explainable machine learning…

计算与语言 · 计算机科学 2019-06-12 Hui Liu , Qingyu Yin , William Yang Wang