2 citations · 3 across the 5 of their papers we have counts for
5 papers
Unlearning Imperative: Securing Trustworthy and Responsible LLMs through Engineered Forgetting
James Jin Kang, Dang Bui, Thanh Pham +1
The growing use of large language models in sensitive domains has exposed a critical weakness: the inability to ensure that private information can be permanently forgotten. Yet th…
German4All -- A Dataset and Model for Readability-Controlled Paraphrasing in German
Miriam Anschütz, Thanh Mai Pham, Eslam Nasrallah +3
The ability to paraphrase texts across different complexity levels is essential for creating accessible texts that can be tailored toward diverse reader groups. Thus, we introduce…
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
T. Q. D. Pham, K. D. Tran, Khanh T. P. Nguyen +3
As global industries transition towards Industry 5.0 predictive maintenance PM remains crucial for cost effective operations resilience and minimizing downtime in increasingly smar…
Multi-dimensional data refining strategy for effective fine-tuning LLMs
Thanh Nguyen Ngoc, Quang Nhat Tran, Arthur Tang +3
Data is a cornerstone for fine-tuning large language models, yet acquiring suitable data remains challenging. Challenges encompassed data scarcity, linguistic diversity, and domain…
AI-assisted Learning for Electronic Engineering Courses in High Education
Thanh Nguyen Ngoc, Quang Nhat Tran, Arthur Tang +3
This study evaluates the efficacy of ChatGPT as an AI teaching and learning support tool in an integrated circuit systems course at a higher education institution in an Asian count…