3 papers
cs.CL2024
Reducing Large Language Model Bias with Emphasis on 'Restricted Industries': Automated Dataset Augmentation and Prejudice Quantification
Devam Mondal, Carlo Lipizzi
Despite the growing capabilities of large language models, there exists concerns about the biases they develop. In this paper, we propose a novel, automated mechanism for debiasing…
cs.AI2024
Tell me the truth: A system to measure the trustworthiness of Large Language Models
Carlo Lipizzi
Large Language Models (LLM) have taken the front seat in most of the news since November 2022, when ChatGPT was introduced. After more than one year, one of the major reasons compa…
cs.CL2023
From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis
Shiyu Yuan, Jingda Yang, Sudhanshu Arya +2
Formal method-based analysis of the 5G Wireless Communication Protocol is crucial for identifying logical vulnerabilities and facilitating an all-encompassing security assessment,…