3 citations · 7 across the 5 of their papers we have counts for
5 papers
AI-Assisted Authoring for Transparent, Data-Driven Documents
Alfonso Piscitelli, Cristina David, Mattia De Rosa +6
We introduce _transparent documents_, interactive web-based scholarly articles which allow readers to explore the relationship to the underlying data by hovering over fragments of…
Retrieval-augmented reasoning with lean language models
Ryan Sze-Yin Chan, Federico Nanni, Tomas Lazauskas +6
This technical report details a novel approach to combining reasoning and retrieval augmented generation (RAG) within a single, lean language model architecture. While existing RAG…
Large language models can consistently generate high-quality content for election disinformation operations
Angus R. Williams, Liam Burke-Moore, Ryan Sze-Yin Chan +7
Advances in large language models have raised concerns about their potential use in generating compelling election disinformation at scale. This study presents a two-part investiga…
Prompto: An open source library for asynchronous querying of LLM endpoints
Ryan Sze-Yin Chan, Federico Nanni, Angus R. Williams +7
Recent surge in Large Language Model (LLM) availability has opened exciting avenues for research. However, efficiently interacting with these models presents a significant hurdle s…
Reconstructing a website's lost past: Methodological issues concerning the history of www.unibo.it
Federico Nanni
This paper describes how born digital primary sources could be used to reconstruct the recent history of scientific institutions. The case study is an analysis of the first 25 year…