Efficient Conceptual Knowledge Removal in Large Language Models: Methods and Evaluations

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Окт. 8, 2024

The increasing use of deep neural networks has led to models that accumulate vast amounts knowledge from their training data, often retaining outdated or biased information needs be selectively removed. Novel techniques are required efficiently erase specific conceptual these while maintaining overall performance and avoiding computationally expensive re-training processes. This paper introduces a scalable framework for removal through targeted weight modification sparse fine-tuning, demonstrating how representations can isolated erased without significant degradation the model's broader capabilities. methodology achieves high precision in suppression by leveraging probing gradient-based optimization, ensuring minimal disruption general task performance. Extensive experimental evaluations confirm effectiveness proposed approach, highlighting its application scenarios where adaptive model refinement is essential both accuracy ethical integrity. Contributions field include development flexible efficient mechanism erasure, applicable across various architectures, minimizes computational overhead enhancing responsiveness dynamic requirements.

Язык: Английский

---

ChatGPT versus human essayists: an exploration of the impact of artificial intelligence for authorship and academic integrity in the humanities

International Journal for Educational Integrity, Год журнала: 2024, Номер 20(1)

Опубликована: Окт. 20, 2024

Abstract Generative AI has prompted educators to reevaluate traditional teaching and assessment methods. This study examines AI’s ability write essays analysing Old English poetry; human markers assessed attempted distinguish them from authentic analyses of poetry by first-year undergraduate students in at the University Oxford. Using standard UK grading system, AI-written averaged a score 60.46, whilst achieved 63.57, margin difference not statistically significant ( p = 0.10). Notably, student submissions applied nuanced understanding cultural context secondary criticism their close reading, while often described rather than analysed, lacking depth evaluation poetic features, sometimes failing properly recognise key aspects passages. Distinguishing features included detailed sustained analysis style, as well spelling errors lack structural cohesion. essays, on other hand, exhibited more formal structure tone but fell short incisive critique form effect. Human correctly identified origin 79.41% time. Additionally, we compare three purported detectors, finding that best, ‘Quillbot’, 95.59% However, given high threshold for academic misconduct, conclusively determining remains challenging. The research also highlights potential benefits generative advise structuring suggesting avenues research. We advocate transparency regarding capabilities limitations, this underscores importance critical engagement learning Higher Education. As proficiency grows, must what is, consider implementing dynamic, holistic methods ensure integrity.

Язык: Английский

---

ChatGPT Impacts on Academia

Опубликована: Июль 27, 2023

This research endeavors to examine the impact of Chat Generative Pre-trained Transformer (ChatGPT) on education system, specifically in realm academia and challenges that it poses. The incorporation ChatGPT into academic practices may necessitate a reevaluation current assessment evaluation systems. integration world raises important questions regarding ethics AI-generated authorship implications has value creative work. new chatbot potential revolutionize various fields, particularly works, including art, music, writing, all areas humanity subjects. paper presents qualitative analysis system domain. future trajectory this technology is not unlike other previous technological innovations but AI-chatbot expected reshape knowledge. study aims shed light these pressing issues present possible compromise strategy for resolving them.

Язык: Английский

---

Leveraging Artificial Intelligence for Enhanced Project Completion in Education

Опубликована: Янв. 2, 2024

In the conducted research, integration of Artificial Intelligence (AI) into educational settings was explored, with a specific focus on its impact project-based learning. The study involved 200 students within controlled environment. investigation delved utilization an AI-driven project completion support system to evaluate effects time management skills, engagement levels, and academic performance. results demonstrated significant improvements in Experimental Group, which had access AI support, as opposed Control Group. This outcome provided compelling evidence AI's positive contributions realm education. findings underscored potential AI-based systems enhancing students' overall success.

Язык: Английский

---

Reacting to Generative AI: Insights from Student and Faculty Discussions on Reddit

Опубликована: Янв. 18, 2024

Generative Artificial intelligence (GenAI) such as ChatGPT has elicited strong reactions from almost all stakeholders across the education system. Education-oriented and academic social media communities provide an important venue for these to share experiences exchange ideas about GenAI, which is constructive developing human-centered policies. This study examines early user consisting of 725 Reddit threads between 06/2022 05/2023. Through natural language processing (NLP) content analysis, we observe increasingly negative sentiment in discussion identify six main categories student faculty GenAI education. These reflect concerns integrity AI's impact on value traditional Our analysis also highlights additional workload imposed by new technologies. findings suggest that dialogue community critical can mitigate sources tension students faculty.

Язык: Английский

---