12 citations · 13 across the 6 of their papers we have counts for
6 papers
SafeTune: Search-based Harmfulness Minimisation for Large Language Models
Giordano d'Aloisio, David Williams, Giusy Annunziata +3
The widespread adoption of Large Language Models (LLMs) raises concerns about the potential harmfulness of their responses. In this paper, we first investigate the harmfulness of r…
SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion Models
Giordano d'Aloisio, Tosin Fadahunsi, Jay Choy +2
Background: Text-to-image generation models are widely used across numerous domains. Among these models, Stable Diffusion (SD) - an open-source text-to-image generation model - has…
How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias
Tosin Fadahunsi, Giordano d'Aloisio, Antinisca Di Marco +1
Generative models are nowadays widely used to generate graphical content used for multiple purposes, e.g. web, art, advertisement. However, it has been shown that the images genera…
On the Compression of Language Models for Code: An Empirical Study on CodeBERT
Giordano d'Aloisio, Luca Traini, Federica Sarro +1
Language models have proven successful across a wide range of software engineering tasks, but their significant computational costs often hinder their practical adoption. To addres…
Exploring LLM-Driven Explanations for Quantum Algorithms
Giordano d'Aloisio, Sophie Fortz, Carol Hanna +4
Background: Quantum computing is a rapidly growing new programming paradigm that brings significant changes to the design and implementation of algorithms. Understanding quantum al…
GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation
Jingzhi Gong, Sisi Li, Giordano d'Aloisio +4
Tuning the parameters and prompts for improving AI-based text-to-image generation has remained a substantial yet unaddressed challenge. Hence we introduce GreenStableYolo, which im…