3 citations · 4 across the 4 of their papers we have counts for
5 papers
Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
Jonas Waldendorf, Bashar Awwad Shiekh Hasan, Evgenii Tsymbalov
Hallucinations in Speech Large Language Models (SpeechLLMs) pose significant risks, yet existing detection methods typically rely on gold-standard outputs that are costly or imprac…
Fully-Automatic Pipeline for Document Signature Analysis to Detect Money Laundering Activities
Nikhil Woodruff, Amir Enshaei, Bashar Awwad Shiekh Hasan
Signatures present on corporate documents are often used in investigations of relationships between persons of interest, and prior research into the task of offline signature verif…
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations
Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed
Deep Learning of neural networks has progressively become more prominent in healthcare with models reaching, or even surpassing, expert accuracy levels. However, these success stor…
Finding the Ground-Truth from Multiple Labellers: Why Parameters of the Task Matter
Robert McCluskey, Amir Enshaei, Bashar Awwad Shiekh Hasan
Employing multiple workers to label data for machine learning models has become increasingly important in recent years with greater demand to collect huge volumes of labelled data…
Bayesian Stress Testing of Models in a Classification Hierarchy
Bashar Awwad Shiekh Hasan, Kate Kelly
Building a machine learning solution in real-life applications often involves the decomposition of the problem into multiple models of various complexity. This has advantages in te…