6 citations · 9 across the 7 of their papers we have counts for
7 papers
Learning Multimodal Latent Space with EBM Prior and MCMC Inference
Shiyu Yuan, Carlo Lipizzi, Tian Han
Multimodal generative models are crucial for various applications. We propose an approach that combines an expressive energy-based model (EBM) prior with Markov Chain Monte Carlo (…
LLMs Plagiarize: Ensuring Responsible Sourcing of Large Language Model Training Data Through Knowledge Graph Comparison
Devam Mondal, Carlo Lipizzi
In light of recent legal allegations brought by publishers, newspapers, and other creators of copyrighted corpora against large language model developers who use their copyrighted…
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…
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…
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,…
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches
Shiyu Yuan, Carlo Lipizzi
Information extraction (IE) plays very important role in natural language processing (NLP) and is fundamental to many NLP applications that used to extract structured information f…
Natural Language in Requirements Engineering for Structure Inference -- An Integrative Review
Maximilian Vierlboeck, Carlo Lipizzi, Roshanak Nilchiani
The automatic extraction of structure from text can be difficult for machines. Yet, the elicitation of this information can provide many benefits and opportunities for various appl…