1 citations · 1 across the 6 of their papers we have counts for
4 papers · 2 filters
How Much Noise Can BERT Handle? Insights from Multilingual Sentence Difficulty Detection
Nouran Khallaf, Serge Sharoff
Noisy training data can significantly degrade the performance of language-model-based classifiers, particularly in non-topical classification tasks. In this study we designed a met…
To Predict or Not to Predict? Towards reliable uncertainty estimation in the presence of noise
Nouran Khallaf, Serge Sharoff
This study examines the role of uncertainty estimation (UE) methods in multilingual text classification under noisy and non-topical conditions. Using a complex-vs-simple sentence c…
Almost Clinical: Linguistic properties of synthetic electronic health records
Serge Sharoff, John Baker, David Francis Hunt +1
This study evaluates the linguistic and clinical suitability of synthetic electronic health records in mental health. First, we describe the rationale and the methodology for creat…
Can LLM Reasoning Be Trusted? A Comparative Study: Using Human Benchmarking on Statistical Tasks
Crish Nagarkar, Leonid Bogachev, Serge Sharoff
This paper investigates the ability of large language models (LLMs) to solve statistical tasks, as well as their capacity to assess the quality of reasoning. While state-of-the-art…