UC San Diego Today

A New Method to Steer AI Output Uncovers Vulnerabilities and Potential Improvements

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
IEEE

Leveraging Large Language Models for Multi-Objective and Adaptive SFC Deployment: Techniques, Case Study, and Promising Directions

Abstract: Network function virtualization enables flexible network services through Service Function Chain (SFC) deployment. Existing SFC deployment solutions rely on mixed integer linear programming ...
GitHub

MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models

We provide the 9 models evaluated in the MetaAligner paper as follows. Note that though all models are fine-tuned on certain objectives, you can always extend their capability to unseen objectives by ...
IEEE

Subjective and Objective Quality Assessments of AI-Generated Images for Language E-Learning

Abstract: AI-generated images (AIGIs) are becoming popular and can be employed in many applications, owing to Generative AI (GAI). Researchers have developed models that can be used to generate images ...