26 citations · 86 across the 28 of their papers we have counts for
10 papers · 1 filter
Emerging Security Challenges of Large Language Models
Herve Debar, Sven Dietrich, Pavel Laskov +2
Large language models (LLMs) have achieved record adoption in a short period of time across many different sectors including high importance areas such as education [4] and healthc…
Shape error prediction in 5-axis machining using graph neural networks
Julia Huuk, Abheek Dhingra, Eirini Ntoutsi +1
This paper presents an innovative method for predicting shape errors in 5-axis machining using graph neural networks. The graph structure is defined with nodes representing workpie…
Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health
Vivek Kumar, Eirini Ntoutsi, Pushpraj Singh Rajawat +2
Large language models (LLMs) have shown promising capabilities in healthcare analysis but face several challenges like hallucinations, parroting, and bias manifestation. These chal…
Transparent Neighborhood Approximation for Text Classifier Explanation
Yi Cai, Arthur Zimek, Eirini Ntoutsi +1
Recent literature highlights the critical role of neighborhood construction in deriving model-agnostic explanations, with a growing trend toward deploying generative models to impr…
Fairness Evaluation with Item Response Theory
Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong +1
Item Response Theory (IRT) has been widely used in educational psychometrics to assess student ability, as well as the difficulty and discrimination of test questions. In this cont…
Adversarial Robustness of VAEs across Intersectional Subgroups
Chethan Krishnamurthy Ramanaik, Arjun Roy, Eirini Ntoutsi
Despite advancements in Autoencoders (AEs) for tasks like dimensionality reduction, representation learning and data generation, they remain vulnerable to adversarial attacks. Vari…