GitHub

SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning

As Multimodal Large Language Models (MLLMs) develop, their potential security issues have become increasingly prominent. Machine Unlearning (MU), as an effective strategy for forgetting specific ...
IEEE

Detecting Generative Artificial Intelligence Essays using Large Language Models: Machine and Deep Learning Approaches

Abstract: The study focuses on discerning between human and AI-generated essays, highlighting the ethical implications of AI in academia. It employs various algorithms like logistic regression, ...
InfoWorld

A small language model blueprint for automation in IT and HR

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...
IEEE

A Language-Driven Data Augmentation Method for Mongolian-Chinese Neural Machine Translation

Abstract: Traditional data augmentation methods are typically computation-driven, randomly selecting words for modification with equal probability for each word. However, these methods do not take ...