36 citations · 70 across the 8 of their papers we have counts for
8 papers
A Review of LLM-Assisted Ideation
Sitong Li, Stefano Padilla, Pierre Le Bras +2
We present a comprehensive, in-depth review of ideation assisted by large language models (LLMs), highlighting emerging trends and identifying unaddressed research gaps. In total,…
Visual Exploration of Stopword Probabilities in Topic Models
Shuangjiang Xue, Pierre Le Bras, David A. Robb +2
Stopword removal is a critical stage in many Machine Learning methods but often receives little consideration, it interferes with the model visualizations and disrupts user confide…
Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study
David A. Robb, Donald Risbridger, Ben Mills +6
The alignment of optical systems is a critical step in their manufacture. Alignment normally requires considerable knowledge and expertise of skilled operators. The automation of s…
Enhancing Reading Strategies by Exploring A Theme-based Approach to Literature Surveys
Tanya Howden, Pierre Le Bras, Thomas S. Methven +2
Searching large digital repositories can be extremely frustrating, as common list-based formats encourage users to adopt a convenience-sampling approach that favours chance discove…
Visualising COVID-19 Research
Pierre Le Bras, Azimeh Gharavi, David A. Robb +3
The world has seen in 2020 an unprecedented global outbreak of SARS-CoV-2, a new strain of coronavirus, causing the COVID-19 pandemic, and radically changing our lives and work con…
Challenges in Collaborative HRI for Remote Robot Teams
Helen Hastie, David A. Robb, José Lopes +6
Collaboration between human supervisors and remote teams of robots is highly challenging, particularly in high-stakes, distant, hazardous locations, such as off-shore energy platfo…
The ORCA Hub: Explainable Offshore Robotics through Intelligent Interfaces
Helen Hastie, Katrin Lohan, Mike Chantler +5
We present the UK Robotics and Artificial Intelligence Hub for Offshore Robotics for Certification of Assets (ORCA Hub), a 3.5 year EPSRC funded, multi-site project. The ORCA Hub v…
A 'Gibbs-Newton' Technique for Enhanced Inference of Multivariate Polya Parameters and Topic Models
Osama Khalifa, David Wolfe Corne, Mike Chantler
Hyper-parameters play a major role in the learning and inference process of latent Dirichlet allocation (LDA). In order to begin the LDA latent variables learning process, these hy…