1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
Creation and evaluation of timelines for longitudinal user posts
Anthony Hills, Adam Tsakalidis, Federico Nanni +2
There is increasing interest to work with user generated content in social media, especially textual posts over time. Currently there is no consistent way of segmenting user posts…