Generative artificial intelligence: Implications and considerations for higher education practice
T Farrelly, N Baker - Education Sciences, 2023 - mdpi.com
Generative Artificial Intelligence (GAI) has emerged as a transformative force in higher
education, offering both challenges and opportunities. This paper explores the multifaceted …
education, offering both challenges and opportunities. This paper explores the multifaceted …
Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense
The rise in malicious usage of large language models, such as fake content creation and
academic plagiarism, has motivated the development of approaches that identify AI …
academic plagiarism, has motivated the development of approaches that identify AI …
Authorship attribution in the era of llms: Problems, methodologies, and challenges
Accurate attribution of authorship is crucial for maintaining the integrity of digital content,
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …
A survey on llm-gernerated text detection: Necessity, methods, and future directions
The powerful ability to understand, follow, and generate complex language emerging from
large language models (LLMs) makes LLM-generated text flood many areas of our daily …
large language models (LLMs) makes LLM-generated text flood many areas of our daily …
A survey on detection of llms-generated content
The burgeoning capabilities of advanced large language models (LLMs) such as ChatGPT
have led to an increase in synthetic content generation with implications across a variety of …
have led to an increase in synthetic content generation with implications across a variety of …
Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Large language models (LLMs) have significantly transformed the landscape of Natural
Language Processing (NLP). Their impact extends across a diverse spectrum of tasks …
Language Processing (NLP). Their impact extends across a diverse spectrum of tasks …
User modeling in the era of large language models: Current research and future directions
User modeling (UM) aims to discover patterns or learn representations from user data about
the characteristics of a specific user, such as profile, preference, and personality. The user …
the characteristics of a specific user, such as profile, preference, and personality. The user …
Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset
The quest for human imitative AI has been an enduring topic in AI research since inception.
The technical evolution and emerging capabilities of the latest cohort of large language …
The technical evolution and emerging capabilities of the latest cohort of large language …
Gender, age, and technology education influence the adoption and appropriation of LLMs
Large Language Models (LLMs) such as ChatGPT have become increasingly integrated into
critical activities of daily life, raising concerns about equitable access and utilization across …
critical activities of daily life, raising concerns about equitable access and utilization across …
Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity
The rise of Large Language Models (LLMs) such as ChatGPT and Gemini has posed new
challenges for the academic community. With the help of these models, students can easily …
challenges for the academic community. With the help of these models, students can easily …