4 papers · 1 filter
Decomposing Factual Sycophancy in Language Models: How Size and Instruction Tuning Shape Robustness
Victor De Marez, Luna De Bruyne, Walter Daelemans
Factual sycophancy occurs when a language model abandons a correct, verifiable answer under social pressure. Because a flip occurs only when pressure toward a false answer exceeds…
An Agentic AI Framework for Training General Practitioner Student Skills
Victor De Marez, Jens Van Nooten, Luna De Bruyne +1
Advancements in large language models offer strong potential for enhancing virtual simulated patients (VSPs) in medical education by providing scalable alternatives to resource-int…
WinoWhat: A Parallel Corpus of Paraphrased WinoGrande Sentences with Common Sense Categorization
Ine Gevers, Victor De Marez, Luna De Bruyne +1
In this study, we take a closer look at how Winograd schema challenges can be used to evaluate common sense reasoning in LLMs. Specifically, we evaluate generative models of differ…
THInC: A Theory-Driven Framework for Computational Humor Detection
Victor De Marez, Thomas Winters, Ayla Rigouts Terryn
Humor is a fundamental aspect of human communication and cognition, as it plays a crucial role in social engagement. Although theories about humor have evolved over centuries, ther…